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Part 01-Module 02-Lesson 02_Get Ready/05. The Great Robot Race-UFGu15hCtKg.mp4 301.22 MB
Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.mp4 80.41 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/01. Meet Danny Shapiro At Nvidia-tglLnJNHSI4.mp4 43.21 MB
Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.mp4 40.4 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/06. More Kalman Filters-hUnTg5v4tDU.mp4 35.46 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-X7cixvcogl8.mp4 33.73 MB
Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.mp4 32 MB
Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule-sA5wv56qYc0.mp4 29 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/08. Kalman Filter Design-KYEr4BXhD_E.mp4 27.34 MB
Part 05-Module 01-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 26.5 MB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/01. Meet Phantom Auto-D6-7L9nZMPY.mp4 26.49 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-8O9GV4SUToA.mp4 25.53 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/38. Solution Step III-CRv1ogJYe8w.mp4 24.99 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-JsMwEH8cluU.mp4 24.6 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-X7YggdDnLaw.mp4 24.56 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/48. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 23.75 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/03. Kalman Filter Land-LXJ5jrvDuEk.mp4 22.64 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/13. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 22.58 MB
Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.mp4 22.05 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/37. Nd113 C7 33 L Features And Classification-Ni3ocWoUDPk.mp4 21.67 MB
Part 01-Module 01-Lesson 01_Introduction/01. Final Teaser ISDC-j7iB0p4dOj4.mp4 21.51 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/35. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4 21.19 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-CNpSrdnYvbo.mp4 18.01 MB
Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.mp4 17.79 MB
Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.mp4 17.79 MB
Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.mp4 17.54 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/36. Solution Step I-bIZgt0ttMeU.mp4 17.42 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.mp4 17.31 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-GHKKUR6tZE0.mp4 17.07 MB
Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.mp4 17.04 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.mp4 16.86 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/40. High Pass Filters-JOa9ZtV_rB4.mp4 16.34 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/18. Algorithm Pseudocode-Ei91QeYiG_E.mp4 16.14 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/09. What Are the Inputs-cAr-unfe-mg.mp4 15.82 MB
Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.mp4 15.78 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/07. Image Classification Pipeline-jfu6aqvU1vQ.mp4 15.61 MB
Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.mp4 15.44 MB
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.mp4 15.07 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.mp4 14.97 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/29. Labeled Data and Accuracy-FN96OM_JGyM.mp4 14.66 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-8c479K2UCZo.mp4 14.6 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.mp4 14.55 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-HTL5-0DDqE4.mp4 14.2 MB
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.mp4 14.05 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/04. Nd113 C7 02 L Introducing Tarin V2-us2b__pBR8Y.mp4 13.97 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/09. Learning To Classify Images-_mE0nkLPSw0.mp4 13.65 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/25. Nd113 C7 23 L HSV Conversion-GbrJi0U8T20.mp4 13.31 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.mp4 13.28 MB
Part 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.16 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/43. Nd113 C7 40 L Convolution In Self-Driving Cars-nz7rOTZ99X4.mp4 13.07 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/02. Computer Vision and Sebastian-pil3PeZzCIY.mp4 13.05 MB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/02. Nd113 C6 L1 01 Inertial Navigation V1 (1)-vWgG0d2HOVE.mp4 12.92 MB
Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-eIjyrQpDogg.mp4 12.91 MB
Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.mp4 12.85 MB
Part 05-Module 01-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.mp4 12.76 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.mp4 12.52 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-doyrdLJ6rJ4.mp4 12.36 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-doyrdLJ6rJ4.mp4 12.36 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.mp4 12.01 MB
Part 04-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp4 11.98 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.mp4 11.93 MB
Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.mp4 11.85 MB
Part 04-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp4 11.65 MB
Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.mp4 11.54 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.mp4 11.42 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/22. Nd113 C7 20 L Green Screen Car V2-_YEdV_mRKXQ.mp4 11.37 MB
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.mp4 11.32 MB
Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.mp4 11.26 MB
Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.mp4 11.22 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/27. Nd113 C7 25 L Day And Night Classification NEEDS ANM V1-bsra6mwtw7U.mp4 11.13 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-R4zq6mPPMxs.mp4 11.04 MB
Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-_AhoOd8YUK0.mp4 11.03 MB
Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.mp4 10.96 MB
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.mp4 10.92 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates-VLrJ01wEajw.mp4 10.86 MB
Part 06-Module 01-Lesson 03_The Search Problem/33. Sliding Blocks Puzzle 2-7vExAvX3LbI.mp4 10.85 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.mp4 10.68 MB
Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 10.64 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.mp4 10.57 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.mp4 10.56 MB
Part 04-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 10.49 MB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/10. L1 09 V2-b-zB9Bs8zKQ.mp4 10.42 MB
Part 06-Module 01-Lesson 03_The Search Problem/05. Tree Search-lCuwrHKxNlU.mp4 10.32 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.mp4 10.3 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/16. Try an Example-X29RjzKHsWU.mp4 10.19 MB
Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.mp4 10.12 MB
Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.mp4 10.06 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/32. Nd113 C7 29 L Features-HshygbfQylA.mp4 10.05 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.mp4 9.87 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/50. Nd113 C7 47 L Outro-YbWjhAVvdKc.mp4 9.84 MB
Part 06-Module 01-Lesson 03_The Search Problem/23. More Uniform Cost-8xH-3WtswDs.mp4 9.82 MB
Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.mp4 9.81 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.mp4 9.78 MB
Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.mp4 9.74 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/15. Color Images--XbXiiGQ9gw.mp4 9.6 MB
Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.mp4 9.54 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-yo8jf0U4hlc.mp4 9.46 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-gPfkboHV3QA.mp4 9.44 MB
Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.mp4 9.32 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/51. Ends and Beginnings-lCUkFi4fwLY.mp4 9.3 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.mp4 9.25 MB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/img/self-driving-uber-prototype-in-san-francisco.jpg 9.25 MB
Part 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.mp4 9.06 MB
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.mp4 9.02 MB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/15. L2 18 V2-nCJQl2kH8bY.mp4 8.98 MB
Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-kfPWiMsnWFI.mp4 8.9 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/31. Feature Extraction-DkmLO7PKhy8.mp4 8.88 MB
Part 09-Module 01-Lesson 01_Congratulations! You've finished!/01. Congratulations on completing Intro to Self-Driving Cars!-w640r8wujPw.mp4 8.74 MB
Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.mp4 8.7 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-lDykH1UHq38.mp4 8.67 MB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/07. Approximating The Integral-9C05AHzI_I8.mp4 8.57 MB
Part 01-Module 01-Lesson 01_Introduction/03. Meet The Team-U7OiT5kWlnQ.mp4 8.56 MB
Part 02-Module 01-Lesson 01_Introduction/01. The Wonderland of Probability and Bayes' Rule-gfFWpMehzpk.mp4 8.49 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/18. Pre-processing--h1GS0SEyzY.mp4 8.47 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.mp4 8.34 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/10. What Is Machine Learning-3mzV7uQhEos.mp4 8.33 MB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/01. L2 01 V2-GRgbA3XBy6w.mp4 8.32 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.mp4 8.2 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-rczAG7meAY4.mp4 8.19 MB
Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.mp4 8.19 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/03. Welcome To Computer Vision-qAGnachIrxs.mp4 8.13 MB
Part 06-Module 01-Lesson 03_The Search Problem/04. Example Route Finding-5lrkPKQwOFE.mp4 8.12 MB
Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp4 8.1 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/05. Nd113 C7 03 L Vision And SelfDriving Cars V1-dezDkQ47NaY.mp4 8.09 MB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/07. Power of Trigonometry-yLMTfBq_I3k.mp4 7.98 MB
Part 04-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp4 7.96 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/39. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.mp4 7.91 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-_AAkw_fynwc.mp4 7.86 MB
Part 05-Module 01-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 7.76 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.mp4 7.74 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/20. Nd113 C7 19 L Color Masking-4U5fYTbSDg0.mp4 7.7 MB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/12. Working with Real Data-WvEcWtAz-OQ.mp4 7.66 MB
Part 01-Module 01-Lesson 01_Introduction/09. Intro to Self-Driving Cars Expectations for this Nanodegree-TTOhBB7QaUg.mp4 7.65 MB
Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.mp4 7.5 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/10. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.mp4 7.49 MB
Part 02-Module 01-Lesson 01_Introduction/02. Course Overview-QTFIJNBXx9w.mp4 7.45 MB
Part 06-Module 01-Lesson 03_The Search Problem/31. Sliding Blocks Puzzle-Dzah_49isp8.mp4 7.44 MB
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.mp4 7.42 MB
Part 04-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.4 MB
Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.mp4 7.39 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.mp4 7.38 MB
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.mp4 7.33 MB
Part 06-Module 01-Lesson 03_The Search Problem/24. A Search-HNdOFYCtfu4.mp4 7.25 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-edcfMK_bKXw.mp4 7.18 MB
Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-PNiaE1fy-7k.mp4 7.15 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.mp4 7.08 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.mp4 7.03 MB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/09. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.mp4 6.95 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-tSfmiuB9s2c.mp4 6.95 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-tSfmiuB9s2c.mp4 6.95 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/09. Nd113 C2 L3 08 L Look At Where We Are V2-5EjWMSV-0wo.mp4 6.93 MB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/11. Defining The Derivative-043a3JRE1hU.mp4 6.86 MB
Part 02-Module 01-Lesson 08_Probability Distributions/03. Intro To Probability Distribution 2-PglBg4eb_5M.mp4 6.85 MB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/10. Rate Gyros-TmnecSf80b0.mp4 6.82 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.mp4 6.79 MB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/01. L3 01 V2-a_eHxfy5tnI.mp4 6.79 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.mp4 6.72 MB
Part 06-Module 01-Lesson 03_The Search Problem/35. A Note On Implementation-P3mkDcB-nqY.mp4 6.64 MB
Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.mp4 6.61 MB
Part 06-Module 01-Lesson 03_The Search Problem/03. What Is A Problem-gepUYmWERZA.mp4 6.59 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.mp4 6.55 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/45. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.mp4 6.54 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.mp4 6.31 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/35. Generalizing-SdMk3aROgSc.mp4 6.27 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.mp4 6.25 MB
Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-EhLR8l5XAiQ.mp4 6.24 MB
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.mp4 6.21 MB
Part 01-Module 02-Lesson 02_Get Ready/03. Intro to Self-Driving Cars Intro To Jupyter Notebooks-0-5VG9FsdQ0.mp4 6.2 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.mp4 6.2 MB
Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-v30w4s2djfc.mp4 6.18 MB
Part 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp4 6.09 MB
Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.mp4 6.09 MB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/17. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.mp4 6.06 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-5vjhu_cssNQ.mp4 6.05 MB
Part 04-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp4 6.03 MB
Part 06-Module 01-Lesson 02_Data Structures/01. Nd113 C5 L2 01 L Lesson Overview V1-LLrp9jq381k.mp4 6.03 MB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/12. Solving Trig Problems Part1-qI4i845d7Qg.mp4 5.97 MB
Part 06-Module 01-Lesson 03_The Search Problem/02. Welcome to Search!-pHySYq-wghU.mp4 5.96 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-2T1JONL0WyE.mp4 5.93 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/24. Color Spaces and Transforms-qd49BIci-yw.mp4 5.87 MB
Part 04-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 5.85 MB
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.mp4 5.84 MB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/03. L1 02 B V2-AFuQ1i3eUN8.mp4 5.84 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-YCQWVwsCZCk.mp4 5.79 MB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/15. Conclusion-gMbDqd4ItiU.mp4 5.72 MB
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.mp4 5.7 MB
Part 02-Module 01-Lesson 02_Joy Ride/01. Project Overview-Ij45-DpGejE.mp4 5.69 MB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.mp4 5.69 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-zc_GQiISQ3E.mp4 5.58 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.mp4 5.56 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.mp4 5.55 MB
Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-BlC2BwoDxL8.mp4 5.54 MB
Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.mp4 5.49 MB
Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.mp4 5.49 MB
Part 06-Module 01-Lesson 02_Data Structures/03. Nd113 C5 L2 03 L Design Tradeoffs V1-8IpVosy86Fo.mp4 5.45 MB
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.mp4 5.43 MB
Part 06-Module 01-Lesson 02_Data Structures/02. Tracking Tickets RENDER 1 V1-6sbn7ECEOys.mp4 5.37 MB
Part 05-Module 01-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp4 5.37 MB
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.mp4 5.37 MB
Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.mp4 5.36 MB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.mp4 5.34 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/29. Step Two Helper Function-lpprz4op11k.mp4 5.29 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-PsyqM704q2Y.mp4 5.26 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data-vhl-SADfti8.mp4 5.21 MB
Part 01-Module 01-Lesson 01_Introduction/02. Intro to Self-Driving Cars Welcome From Sebastian-qZt87xwkHro.mp4 5.2 MB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/14. Nd113 C2 L3 17 L Car Class File V2-OOskkXm0mNc.mp4 5.2 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian--9AVZ-N_gbM.mp4 5.19 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.mp4 5.18 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.mp4 5.17 MB
Part 06-Module 01-Lesson 02_Data Structures/19. Nd113 C5 L2 17 L Conclusion V1-a3Q8QSjpVHQ.mp4 5.16 MB
Part 06-Module 01-Lesson 03_The Search Problem/06. Tree Search Continued-8yID2dTeBSM.mp4 5.15 MB
Part 04-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.13 MB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/22. State Vector-st26ov_TVwM.mp4 5.12 MB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/11. Car Object-SnfhGZ76h7Y.mp4 5.12 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-ZETmw5tFcFU.mp4 5.06 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-M62yGhjmJoA.mp4 5.05 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/27. Define daysBetweenDates-oM3oyyQKQFU.mp4 5.01 MB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/07. Quantifying State-9zMbwSqTZAc.mp4 5.01 MB
Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-tpsUlBbz5Jo.mp4 5 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.mp4 4.98 MB
Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-0gcTEExMH3k.mp4 4.97 MB
Part 02-Module 01-Lesson 03_Probability/12. Probability In Robotics-BKLwvL1D0yE.mp4 4.88 MB
Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.mp4 4.81 MB
Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.mp4 4.69 MB
Part 06-Module 01-Lesson 03_The Search Problem/18. 17 - Uniform Cost Search 5-oiJLwSnrEDA.mp4 4.67 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-osHXLCQ9TKE.mp4 4.66 MB
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.mp4 4.62 MB
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.mp4 4.61 MB
Part 06-Module 01-Lesson 03_The Search Problem/34. Problems With Search-5RmTKsNoG6M.mp4 4.61 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-tiAFliSz9CY.mp4 4.59 MB
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.mp4 4.52 MB
Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.mp4 4.5 MB
Part 02-Module 01-Lesson 10_Gaussian Distributions/01. Introduction to Gaussian distributions-VQetR_9lBZc.mp4 4.49 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-SK3cnmu8BYU.mp4 4.49 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem-lY0CYTfkLWo.mp4 4.49 MB
Part 05-Module 01-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.mp4 4.47 MB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/14. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.mp4 4.45 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/01. Reducing Uncertainty-zuFMhmKQ--o.mp4 4.4 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-2BfisMbu86o.mp4 4.4 MB
Part 06-Module 01-Lesson 03_The Search Problem/19. Search Comparison-RMt_NiyY4nU.mp4 4.32 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.mp4 4.3 MB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/07. L1 06 B V2-GRaIUM6s6B4.mp4 4.3 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-oFpvcWEllBs.mp4 4.29 MB
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.mp4 4.29 MB
Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.mp4 4.28 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.mp4 4.26 MB
Part 05-Module 01-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4 4.26 MB
Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-dyqgMA5zRko.mp4 4.26 MB
Part 03-Module 01-Lesson 05_Implement Matrix Class/01. Nd113P2 C2 L5 01 L Implement Matrix-0Ie9IxW9VDw.mp4 4.24 MB
Part 03-Module 01-Lesson 01_Section Overview/01. Introduction to Matrices-Ugx3mldc0lE.mp4 4.15 MB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/05. L1 04 B V2-jR7_6Zqq228.mp4 4.13 MB
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.mp4 4.1 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-QAqsIWVVX0Y.mp4 4.09 MB
Part 06-Module 01-Lesson 03_The Search Problem/12. Breath First Search 5-eyN4162UjH8.mp4 4.07 MB
Part 06-Module 01-Lesson 03_The Search Problem/17. Uniform Cost Search 4-yO_uxVtEjq8.mp4 4.07 MB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/01. Localization Steps-4SiMoSTf4rQ.mp4 4.06 MB
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.mp4 4.01 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-TGdMG81hXc8.mp4 3.96 MB
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.mp4 3.94 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.mp4 3.93 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/01. Nd113 Navigating L1 01 V1-5tdMvdcUF-E.mp4 3.9 MB
Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4Ri4nhHKtU0.mp4 3.89 MB
Part 02-Module 01-Lesson 05_Programming Probability in Python/01. Learn by Doing-ypPeggeRdTE.mp4 3.88 MB
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.mp4 3.86 MB
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.mp4 3.86 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.mp4 3.84 MB
Part 02-Module 01-Lesson 11_Robot Localization/01. About This Lesson-xEBSzD-fwps.mp4 3.81 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/11. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.mp4 3.8 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.mp4 3.79 MB
Part 06-Module 01-Lesson 03_The Search Problem/14. Uniform Cost Search 1-nBdlU4jIDqU.mp4 3.79 MB
Part 06-Module 01-Lesson 03_The Search Problem/15. Uniform Cost Search 2-_cSf_1QNaOY.mp4 3.77 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/01. Nd113 C2 L3 01 L Connection To Kalman Filters V1-bwaakDKn4nI.mp4 3.76 MB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/03. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.mp4 3.76 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.mp4 3.75 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/33. Nd113 Matrices L3 12 V1-BRLmFGScL_k.mp4 3.75 MB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/06. Delta X Over Delta T-AsBTLDf0vQs.mp4 3.71 MB
Part 06-Module 01-Lesson 02_Data Structures/09. Nd113 C5 L2 08 L Keys And Values V1-1FO2KHIJYwY.mp4 3.66 MB
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.mp4 3.66 MB
Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary-w5fm_dJrImE.mp4 3.65 MB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/09. Always Moving-EQBQlHvxAQA.mp4 3.65 MB
Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.mp4 3.65 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/39. Solution Step IV-H1oVKsgSsi0.mp4 3.63 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.mp4 3.62 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.mp4 3.59 MB
Part 05-Module 01-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp4 3.58 MB
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.mp4 3.58 MB
Part 06-Module 01-Lesson 03_The Search Problem/07. Graph Search -A8GjRaPJQ5E.mp4 3.56 MB
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.mp4 3.54 MB
Part 06-Module 01-Lesson 03_The Search Problem/21. Search Comparison 2-Fh5b8xVJhR8.mp4 3.51 MB
Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-page-3-shades-1.jpg 3.5 MB
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.mp4 3.5 MB
Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.mp4 3.47 MB
Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-aS0c5RrnPxU.mp4 3.44 MB
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.mp4 3.42 MB
Part 06-Module 01-Lesson 03_The Search Problem/20. Search Comparison 1-JbJMxp3Lva4.mp4 3.39 MB
Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.mp4 3.39 MB
Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-Vohy3kpnBsk.mp4 3.39 MB
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.mp4 3.36 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.mp4 3.35 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-mQtjczyAxQs.mp4 3.31 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-0FmTokjoRgo.mp4 3.31 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-HmcurWkA0fQ.mp4 3.3 MB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/27. Working With Matrices-nruxu8pr6i8.mp4 3.27 MB
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.mp4 3.26 MB
Part 05-Module 01-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.mp4 3.25 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.mp4 3.22 MB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/23. State Transformation Matrix-DRRuQMYo800.mp4 3.21 MB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/05. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.mp4 3.2 MB
Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-U8I0vgojlcY.mp4 3.17 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.mp4 3.16 MB
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.mp4 3.15 MB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/09. Nd113 C6 L3 09 L Trigonometric Ratios V2-wquwvrT9g_U.mp4 3.12 MB
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.mp4 3.11 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-Lwn6FJgyyYI.mp4 3.07 MB
Part 06-Module 01-Lesson 03_The Search Problem/30. Optimistic Heuristic-Q5YJtZc37uc.mp4 3.05 MB
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.mp4 3 MB
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.mp4 2.98 MB
Part 06-Module 01-Lesson 03_The Search Problem/28. A Search 4-B_rOIxwLzr8.mp4 2.93 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.mp4 2.92 MB
Part 02-Module 01-Lesson 04_Conditional Probability/01. Conditional Probability-Fda3U2HGNVM.mp4 2.91 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/02. Bayes' Rule and Robotics-meNSO42JF6I.mp4 2.91 MB
Part 02-Module 01-Lesson 03_Probability/03. Learning Objectives Explained-tAkq3iZLJ-c.mp4 2.89 MB
Part 02-Module 01-Lesson 03_Probability/01. Nd113 C1 L3 01 L Introducing Uncertainty V1-NDOm-0qN8e8.mp4 2.87 MB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/08. Lesson Outline-jh7wLGXrm3E.mp4 2.86 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.mp4 2.85 MB
Part 02-Module 01-Lesson 04_Conditional Probability/04. Dependent Events and Conditional Probability-GDWdCH4ilDI.mp4 2.85 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.mp4 2.81 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-7c7wYMftRSg.mp4 2.78 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.mp4 2.76 MB
Part 06-Module 01-Lesson 04_Implement Route Planner/01. Nd113 Navigating L3 01 V1-NGSaeofqZPc.mp4 2.71 MB
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.mp4 2.69 MB
Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-TxNrRo3jNAM.mp4 2.68 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-kieducUmiD0.mp4 2.67 MB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/04. Nd113 C6 L3 04 L Moving At An Angle V2-2KDq_ZzN3Mk.mp4 2.66 MB
Part 06-Module 01-Lesson 02_Data Structures/04. Nd113 C5 L02 04 L Three Approaches V1 RENDER V1-ptLUqOBlNzU.mp4 2.64 MB
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.mp4 2.63 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/02. Nd113 C5 L1 02 L About This Lesson V1-XOSFGuB2mRs.mp4 2.59 MB
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.mp4 2.59 MB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/19. Outro-K1Pj-cr1nFc.mp4 2.57 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.mp4 2.56 MB
Part 02-Module 01-Lesson 08_Probability Distributions/02. Intro To Probability Distribution 1-gqPjMDVFvNg.mp4 2.55 MB
Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4FbhjgHIu10.mp4 2.53 MB
Part 06-Module 01-Lesson 03_The Search Problem/32. Sliding Blocks Puzzle 1-jchVkcBg9HQ.mp4 2.52 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.mp4 2.5 MB
Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.mp4 2.49 MB
Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.mp4 2.49 MB
Part 06-Module 01-Lesson 02_Data Structures/10. Nd113 C5 L02 09 L Adding Labels V2-VZcXBAHs5ts.mp4 2.46 MB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/04. Nd113 C6 L3 045 L Moving At An Angle Part2 V2-iI6zCp0RegM.mp4 2.43 MB
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.mp4 2.37 MB
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.mp4 2.36 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.mp4 2.36 MB
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.mp4 2.34 MB
Part 05-Module 01-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.mp4 2.31 MB
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.mp4 2.29 MB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 05 L Moving At 53 Degrees V2-VmoknN6xLKs.mp4 2.28 MB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/01. Nd113 Bayesian L9 01 V1-dWLZSQiN5vI.mp4 2.27 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-3XiisY0IPPU.mp4 2.26 MB
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.mp4 2.26 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.mp4 2.24 MB
Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-q9698qIrPT0.mp4 2.24 MB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.mp4 2.23 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.mp4 2.23 MB
Part 02-Module 01-Lesson 08_Probability Distributions/01. Probability Distribution-Srt0yZSCrbY.mp4 2.21 MB
Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.mp4 2.2 MB
Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-characters-bios-2.jpg 2.19 MB
Part 02-Module 01-Lesson 12_Histogram Filter in Python/01. Project Overview-uaWZNKGTtgM.mp4 2.17 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.mp4 2.17 MB
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.mp4 2.15 MB
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.mp4 2.11 MB
Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.mp4 2.1 MB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/11. Trigonometry And Vehicle Motion-WY3T-9GHI_0.mp4 2.09 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.mp4 2.08 MB
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.mp4 2.08 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.mp4 2.08 MB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/03. Motion Models-qSdbn_PVQnk.mp4 2.07 MB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-cUKlYjQEQGY.mp4 2.05 MB
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.mp4 2.04 MB
Part 01-Module 02-Lesson 02_Get Ready/01. Intro to Self-Driving Cars How Did You Do-LGZJrihKAg4.mp4 2.03 MB
Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.mp4 2.03 MB
Part 06-Module 01-Lesson 03_The Search Problem/13. Uniform Cost Search-oPe45CJ_o0k.mp4 2.02 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/img/car-detection.png 2 MB
Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-page-1-shades.jpg 2 MB
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.mp4 1.99 MB
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.mp4 1.99 MB
Part 06-Module 01-Lesson 03_The Search Problem/10. Breath First Search 3--ed_C9x8rWs.mp4 1.97 MB
Part 06-Module 01-Lesson 03_The Search Problem/08. Breath First Search 1-70yXCOfKMPA.mp4 1.95 MB
Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example--eAKNo9cA6Y.mp4 1.95 MB
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.mp4 1.94 MB
Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.mp4 1.93 MB
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.mp4 1.92 MB
Part 02-Module 01-Lesson 04_Conditional Probability/02. Introduction To Conditional Probability--_j5NZN2Tfs.mp4 1.91 MB
Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/img/udacity-page-6-shades.jpg 1.87 MB
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Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.mp4 1.84 MB
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Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates.html 8.91 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem.html 8.91 KB
Part 06-Module 01-Lesson 03_The Search Problem/28. Quiz A Search 4.html 8.91 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II.html 8.89 KB
Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2.html 8.89 KB
Part 04-Module 01-Lesson 02_C++ Vectors/11. 2D Vector Playground.html 8.88 KB
Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability.html 8.88 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule.html 8.87 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example.html 8.87 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules.html 8.87 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/16. Try an Example.html 8.87 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/06. More Kalman Filters.html 8.85 KB
Part 02-Module 01-Lesson 10_Gaussian Distributions/06. Standard Deviation.html 8.85 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion.html 8.84 KB
Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/01. Overview.html 8.82 KB
Part 06-Module 01-Lesson 03_The Search Problem/01. Lesson Overview.html 8.8 KB
Part 02-Module 01-Lesson 04_Conditional Probability/02. Intro to Conditional Probability.html 8.79 KB
Part 08-Module 01-Lesson 02_Traffic Light Classifier/01. Project Overview.html 8.77 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/14. A Typical Calculus Problem.html 8.77 KB
Part 02-Module 01-Lesson 05_Programming Probability in Python/15. Probability of Collision [exercise].html 8.76 KB
Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere.html 8.75 KB
Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule.html 8.74 KB
Part 08-Module 01-Lesson 02_Traffic Light Classifier/Project Rubric - Traffic Light Classifier.html 8.71 KB
Part 03-Module 01-Lesson 05_Implement Matrix Class/Project Rubric - Implement a Matrix Class.html 8.71 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram.html 8.71 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/12. The Rest of the Lesson.html 8.7 KB
Part 06-Module 01-Lesson 03_The Search Problem/02. Introduction.html 8.69 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance.html 8.68 KB
Part 02-Module 01-Lesson 04_Conditional Probability/03. Estimating Based on Conditions.html 8.67 KB
Part 04-Module 01-Lesson 05_Python and C++ Speed/03. Moving in Python.html 8.67 KB
Part 02-Module 01-Lesson 05_Programming Probability in Python/16. Probability of Collision [solution].html 8.66 KB
Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability.html 8.66 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/04. Quiz Predicting State.html 8.66 KB
Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3.html 8.65 KB
Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability.html 8.65 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction.html 8.64 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak.html 8.64 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/02. About this Lesson.html 8.64 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/05. Afternoon Drive.html 8.64 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function.html 8.63 KB
Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density.html 8.63 KB
Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability.html 8.62 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rule.html 8.62 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro.html 8.61 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/08. Kalman Filter Design.html 8.61 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/19. Guide to Mathematical Notation.html 8.59 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary.html 8.59 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/26. Coding Matrix Multiplication.html 8.59 KB
Part 06-Module 01-Lesson 03_The Search Problem/06. Tree Search Continued.html 8.59 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/22. Coding Matrices (Solution).html 8.59 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/01. Course Overview.html 8.58 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/18. Coding Vectors (solution).html 8.58 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/30. Coding Identity Matrix.html 8.58 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/24. Coding Matrix Addition.html 8.58 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/32. Coding Matrix Inverse.html 8.58 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/15. 1-D Car World Solution.html 8.58 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/28. Coding the Transpose.html 8.57 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean.html 8.57 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/21. Coding Matrices.html 8.56 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/17. Coding Vectors.html 8.56 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion.html 8.52 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2.html 8.49 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update.html 8.47 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian.html 8.47 KB
Part 02-Module 01-Lesson 03_Probability/12. Probability in Robotics.html 8.47 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian.html 8.46 KB
Part 05-Module 01-Lesson 02_C++ Optimization Practice/12. Vector Storage.html 8.44 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/35. Generalizing.html 8.42 KB
Part 04-Module 01-Lesson 02_C++ Vectors/07. Math and Vectors.html 8.39 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/33. What to Take Away from this Lesson.html 8.39 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/16. Turn Right.html 8.38 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/22. State Vector.html 8.35 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/17. Position, Velocity, and Acceleration.html 8.34 KB
Part 02-Module 01-Lesson 10_Gaussian Distributions/05. Mean.html 8.32 KB
Part 05-Module 01-Lesson 02_C++ Optimization Practice/10. Intermediate Variables.html 8.32 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/02. Bayes' Rule and Robotics.html 8.32 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/02. Programming Probability Distributions.html 8.3 KB
Part 03-Module 01-Lesson 05_Implement Matrix Class/03. Project Instructions.html 8.3 KB
Part 02-Module 01-Lesson 10_Gaussian Distributions/12. Central Limit Theorem [Optional].html 8.29 KB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/08. Opposite, Adjacent, Hypotenuse.html 8.29 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/03. Kalman Filter Land.html 8.28 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/01. Reducing Uncertainty.html 8.26 KB
Part 07-Module 01-Lesson 04_Reconstructing Trajectories from Sensor Data/01. Project Overview.html 8.25 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data.html 8.24 KB
Part 01-Module 01-Lesson 01_Introduction/06. Deadline Policy.html 8.21 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/13. Car Class.html 8.2 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/08. Lesson Outline.html 8.19 KB
Part 02-Module 01-Lesson 11_Robot Localization/01. About this Lesson.html 8.18 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/01. Connection to Kalman Filters.html 8.18 KB
Part 02-Module 01-Lesson 03_Probability/01. Uncertainty in Driving.html 8.18 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/10. The Kalman Filter Equations.html 8.17 KB
assets/css/fonts/KaTeX_Size3-Regular.ttf 8.16 KB
Part 06-Module 01-Lesson 03_The Search Problem/18. Uniform Cost Search 5.html 8.16 KB
Part 06-Module 01-Lesson 03_The Search Problem/35. A Note on Implementation.html 8.16 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/img/screen-shot-2017-09-28-at-2.41.26-pm.png 8.15 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/09. Let's Look at Where we Are.html 8.15 KB
Part 06-Module 01-Lesson 03_The Search Problem/33. Sliding Blocks Puzzle 2.html 8.15 KB
Part 06-Module 01-Lesson 03_The Search Problem/12. Breadth First Search 5.html 8.14 KB
Part 06-Module 01-Lesson 03_The Search Problem/09. Breadth First Search 2.html 8.14 KB
Part 06-Module 01-Lesson 03_The Search Problem/11. Breadth First Search 4.html 8.14 KB
Part 06-Module 01-Lesson 03_The Search Problem/04. Example Route Finding.html 8.14 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/15. How Odometers Work.html 8.14 KB
Part 04-Module 01-Lesson 01_C++ Getting Started/14. Multiple Outputs.html 8.13 KB
Part 06-Module 01-Lesson 03_The Search Problem/30. Optimistic Heuristic.html 8.13 KB
Part 06-Module 01-Lesson 03_The Search Problem/34. Problems with Search.html 8.13 KB
Part 06-Module 01-Lesson 03_The Search Problem/20. Search Comparison 1.html 8.13 KB
Part 06-Module 01-Lesson 03_The Search Problem/22. Search Comparison 3.html 8.13 KB
Part 04-Module 01-Lesson 03_Practical C++/03. C++ Versions.html 8.13 KB
Part 06-Module 01-Lesson 03_The Search Problem/03. What Is A Problem.html 8.12 KB
Part 06-Module 01-Lesson 03_The Search Problem/23. On Uniform Cost.html 8.11 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian.html 8.1 KB
Part 02-Module 01-Lesson 03_Probability/02. Uncertainty in Robotics.html 8.1 KB
Part 06-Module 01-Lesson 03_The Search Problem/29. A Search 5.html 8.08 KB
Part 02-Module 01-Lesson 11_Robot Localization/29. Nanodegree Note.html 8.07 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/10. Objects.html 8.06 KB
Part 04-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1.html 8.03 KB
Part 02-Module 01-Lesson 05_Programming Probability in Python/02. Your First Programming Practice!.html 8.02 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/19. Color Class.html 8.02 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/img/speedo.jpeg 8.02 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/27. Working with Matrices.html 8 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/14. Car Class File.html 7.97 KB
Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/10. Challenge Planning.html 7.96 KB
Part 02-Module 01-Lesson 04_Conditional Probability/09. Notation Note.html 7.94 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/15. Look at the Class Code.html 7.91 KB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/index.html 7.87 KB
Part 08-Module 01-Lesson 02_Traffic Light Classifier/02. Project Instructions.html 7.87 KB
Part 02-Module 01-Lesson 10_Gaussian Distributions/img/strange-distribution.png 7.86 KB
Part 05-Module 01-Lesson 02_C++ Optimization Practice/08. For Loops.html 7.84 KB
Part 02-Module 01-Lesson 08_Probability Distributions/09. Continuous Variables.html 7.83 KB
Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/08. Challenge Changing Tire Size.html 7.81 KB
Part 04-Module 01-Lesson 03_Practical C++/08. Exercises.html 7.79 KB
Part 04-Module 01-Lesson 03_Practical C++/07. Outputting to Text Files.html 7.79 KB
Part 01-Module 01-Lesson 01_Introduction/05. Community Code of Conduct.html 7.79 KB
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Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/21. Overloading Color Addition.html 7.69 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/18. Instantiate Multiple Cars.html 7.68 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/26. Modify Predict State.html 7.67 KB
Part 02-Module 01-Lesson 08_Probability Distributions/07. Discrete Probability [Exercise].html 7.67 KB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/06. Who Cares About 53.13 Degrees.html 7.65 KB
Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2.html 7.65 KB
Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes.html 7.63 KB
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Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability.html 7.55 KB
Part 04-Module 01-Lesson 03_Practical C++/01. Introduction to Compilation.html 7.55 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img/2vector-columns.png 7.53 KB
Part 06-Module 01-Lesson 04_Implement Route Planner/Project Rubric - Implement Route Planner.html 7.48 KB
Part 02-Module 01-Lesson 08_Probability Distributions/08. Discrete Probability [Exercise] Solution.html 7.47 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/12. Visualizing Piece-Wise Distributions [exercise].html 7.46 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/09. Visualizing Uniform Distributions [exercise].html 7.45 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/07. Function Improvements Solution.html 7.45 KB
Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary.html 7.44 KB
Part 06-Module 01-Lesson 02_Data Structures/12. Performance Considerations.html 7.43 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/08. Plotting in Python [demonstration].html 7.43 KB
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Part 02-Module 01-Lesson 09_Programming Probability Distributions/03. Math in Python [demonstration].html 7.42 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/16. 2-D Car World [demonstration].html 7.42 KB
Part 02-Module 01-Lesson 10_Gaussian Distributions/03. Gaussian Distributions.html 7.42 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/14. 1-D Car World [exercise].html 7.41 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/17. 2-D Car World [exercise].html 7.41 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/18. 2-D Car World Solution.html 7.41 KB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/03. Acceleration Basics.html 7.39 KB
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Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/img/example-trajectory.png 7.28 KB
Part 07-Module 01-Lesson 04_Reconstructing Trajectories from Sensor Data/img/example-trajectory.png 7.28 KB
Part 02-Module 01-Lesson 03_Probability/05. Probability.html 7.27 KB
Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary.html 7.26 KB
Part 02-Module 01-Lesson 08_Probability Distributions/02. Intro to Probability Distributions Part One.html 7.23 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction.html 7.2 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/17. Adding Color.html 7.19 KB
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Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/04. Challenge Rotation.html 7.18 KB
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Part 02-Module 01-Lesson 08_Probability Distributions/01. Probability Distributions.html 7.15 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/12. Understanding the Derivative.html 7.13 KB
Part 06-Module 01-Lesson 02_Data Structures/11. Implementing Labels (and Introducing Sets).html 7.13 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/18. Implement an Accelerometer.html 7.13 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/01. Prepare for a Challenge.html 7.13 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/08. Plotting Position vs. Time.html 7.13 KB
Part 02-Module 01-Lesson 03_Probability/25. Summary.html 7.13 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/16. Speed from Position Data.html 7.12 KB
Part 06-Module 01-Lesson 02_Data Structures/15. Performance of Sets and Dictionaries.html 7.12 KB
Part 06-Module 01-Lesson 02_Data Structures/06. The problems with strings and lists.html 7.12 KB
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Part 06-Module 01-Lesson 02_Data Structures/13. Lists, Timing, and Performance.html 7.11 KB
Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/20. Running your Program Locally.html 7.1 KB
Part 06-Module 01-Lesson 02_Data Structures/08. Intro to Dictionaries 2.html 7.09 KB
Part 06-Module 01-Lesson 02_Data Structures/07. Intro to Dictionaries.html 7.09 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/19. Conclusion.html 7.07 KB
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Part 02-Module 01-Lesson 04_Conditional Probability/04. Dependent Events and Conditional Probability.html 7.03 KB
Part 02-Module 01-Lesson 02_Joy Ride/01. Project Overview.html 7.02 KB
Part 02-Module 01-Lesson 05_Programming Probability in Python/08. Python's random Library [demonstration].html 7.01 KB
Part 02-Module 01-Lesson 05_Programming Probability in Python/12. Simulating Probabilities [demonstration].html 7.01 KB
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Part 02-Module 01-Lesson 09_Programming Probability Distributions/13. Visualizing Piece-Wise Distributions Solution.html 7 KB
Part 05-Module 01-Lesson 01_C++ Intro to Optimization/06. Assembly Language.html 7 KB
Part 02-Module 01-Lesson 05_Programming Probability in Python/07. List Comprehensions [demonstration].html 7 KB
Part 02-Module 01-Lesson 05_Programming Probability in Python/13. Python Control Flow [demonstration].html 7 KB
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Part 02-Module 01-Lesson 05_Programming Probability in Python/06. Lists and Loops [demonstration].html 6.99 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/05. Uniform Distribution Solution.html 6.99 KB
Part 05-Module 01-Lesson 02_C++ Optimization Practice/11. Exercise Intermediate Variables.html 6.99 KB
Part 02-Module 01-Lesson 05_Programming Probability in Python/04. Data Types [demonstration].html 6.98 KB
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Part 02-Module 01-Lesson 05_Programming Probability in Python/05. For Loops [demonstration].html 6.98 KB
Part 05-Module 01-Lesson 02_C++ Optimization Practice/05. Exercise Remove Dead Code.html 6.98 KB
Part 05-Module 01-Lesson 02_C++ Optimization Practice/13. Exercise Vector Storage.html 6.97 KB
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Part 05-Module 01-Lesson 02_C++ Optimization Practice/15. Exercise References.html 6.96 KB
Part 05-Module 01-Lesson 02_C++ Optimization Practice/09. Exercise For Loops.html 6.96 KB
Part 06-Module 01-Lesson 02_Data Structures/16. How Sets and Dictionaries Work.html 6.95 KB
Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/12. Implement a Class.html 6.95 KB
Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/06. Testing Bayes' Rule.html 6.94 KB
Part 04-Module 01-Lesson 02_C++ Vectors/05. Vector Methods.html 6.93 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/10. Average vs. Instantaneous Speed.html 6.92 KB
Part 02-Module 01-Lesson 04_Conditional Probability/01. Conditional Probability.html 6.9 KB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/01. Lesson Introduction.html 6.87 KB
Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/14. Thanks for Helping Carla!.html 6.85 KB
Part 02-Module 01-Lesson 03_Probability/03. Learning Objectives Explained.html 6.84 KB
Part 02-Module 01-Lesson 09_Programming Probability Distributions/10. Visualizing Uniform Distributions Solution.html 6.83 KB
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Part 02-Module 01-Lesson 05_Programming Probability in Python/14. Exercises.html 6.76 KB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/10. Looking up Sin, Cos, and Tan.html 6.75 KB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/13. Keeping Track of x and y.html 6.75 KB
Part 06-Module 01-Lesson 02_Data Structures/05. Representing a Single Ticket.html 6.74 KB
Part 04-Module 01-Lesson 01_C++ Getting Started/06. Static vs Dynamic Typing.html 6.74 KB
Part 04-Module 01-Lesson 01_C++ Getting Started/22. Forge on!.html 6.73 KB
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Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why use Object Oriented Programming.html 6.7 KB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/08. Approximating Integrals with Code.html 6.7 KB
Part 04-Module 01-Lesson 01_C++ Getting Started/10. Doubles are Bigger.html 6.7 KB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/09. Integrating Accelerometer Data.html 6.7 KB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/04. Plotting Elevator Acceleration.html 6.7 KB
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Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/02. Inertial Navigation.html 6.68 KB
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Part 04-Module 01-Lesson 01_C++ Getting Started/01. Introduction.html 6.67 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/19. Summary.html 6.65 KB
Part 02-Module 01-Lesson 10_Gaussian Distributions/10. Calculating Area Under the Curve in Python.html 6.64 KB
Part 02-Module 01-Lesson 10_Gaussian Distributions/07. Plotting Gaussians in Python [exercise].html 6.64 KB
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Part 02-Module 01-Lesson 10_Gaussian Distributions/13. Central Limit Theorem [Optional Demo].html 6.63 KB
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Part 04-Module 01-Lesson 02_C++ Vectors/10. 2D Vectors and For Loops.html 6.63 KB
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Part 06-Module 01-Lesson 02_Data Structures/19. Conclusion.html 6.59 KB
Part 04-Module 01-Lesson 06_Translate Python to C++/Project Rubric - Translate Python to C++.html 6.57 KB
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Part 02-Module 01-Lesson 10_Gaussian Distributions/08. Plotting Gaussians in Python [Solution].html 6.55 KB
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Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/02. Programming Probabilities [exercise].html 6.54 KB
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Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/01. Lesson Introduction.html 6.54 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/index.html 6.54 KB
Part 01-Module 02-Lesson 02_Get Ready/02. While You Wait - Learning Resources.html 6.53 KB
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Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/07. Arrays [demonstration].html 6.51 KB
Part 04-Module 01-Lesson 02_C++ Vectors/03. Python Lists vs. C++ Vectors.html 6.48 KB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/10. Rate Gyros.html 6.48 KB
Part 05-Module 01-Lesson 02_C++ Optimization Practice/16. Sebastian's Synchronization Story.html 6.46 KB
Part 05-Module 01-Lesson 02_C++ Optimization Practice/19. Speed Challenge.html 6.42 KB
Part 02-Module 01-Lesson 05_Programming Probability in Python/01. Learn by Doing.html 6.42 KB
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Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/12. Working with Real Data.html 6.4 KB
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Part 01-Module 02-Lesson 02_Get Ready/01. How Did You Do.html 6.2 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/index.html 6.2 KB
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Part 05-Module 01-Lesson 01_C++ Intro to Optimization/09. Demo Binary Floats.html 6.18 KB
Part 05-Module 01-Lesson 01_C++ Intro to Optimization/11. Demo Stack vs Heap.html 6.18 KB
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Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track/05. Lost in Space.html 5.78 KB
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Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/03. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.en.vtt 2.48 KB
Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.ar.vtt 2.48 KB
Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.ar.vtt 2.47 KB
Part 06-Module 01-Lesson 03_The Search Problem/34. Problems With Search-5RmTKsNoG6M.en.vtt 2.47 KB
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.ja.vtt 2.46 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/03. Kalman Filter Land-LXJ5jrvDuEk.zh-CN.vtt 2.46 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.pt-BR.vtt 2.46 KB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/02. Computer Vision and Sebastian-pil3PeZzCIY.en.vtt 2.45 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.es-MX.vtt 2.45 KB
Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.zh-CN.vtt 2.45 KB
Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.en.vtt 2.45 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.ja.vtt 2.45 KB
Part 04-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.zh-CN.vtt 2.44 KB
Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.zh-CN.vtt 2.44 KB
Part 06-Module 01-Lesson 03_The Search Problem/21. Search Comparison 2-Fh5b8xVJhR8.zh-CN.vtt 2.44 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.ja.vtt 2.44 KB
Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.pt-BR.vtt 2.44 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.en.vtt 2.43 KB
Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.zh-CN.vtt 2.43 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates-VLrJ01wEajw.en.vtt 2.43 KB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/05. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.zh-CN.vtt 2.42 KB
Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.zh-CN.vtt 2.42 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.ar.vtt 2.42 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.es-ES.vtt 2.42 KB
Part 04-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.zh-CN.vtt 2.41 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/06. Delta X Over Delta T-AsBTLDf0vQs.en.vtt 2.41 KB
Part 06-Module 01-Lesson 03_The Search Problem/31. Sliding Blocks Puzzle-Dzah_49isp8.en.vtt 2.4 KB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/12. Solving Trig Problems Part1-qI4i845d7Qg.en.vtt 2.38 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/10. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.zh-CN.vtt 2.38 KB
Part 02-Module 01-Lesson 08_Probability Distributions/03. Intro To Probability Distribution 2-PglBg4eb_5M.zh-CN.vtt 2.38 KB
Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.ja.vtt 2.36 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.ja.vtt 2.35 KB
Part 05-Module 01-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.en.vtt 2.34 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.ja.vtt 2.34 KB
Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.zh-CN.vtt 2.34 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.en.vtt 2.33 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.en.vtt 2.33 KB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/02. Computer Vision and Sebastian-pil3PeZzCIY.zh-CN.vtt 2.33 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.uk.vtt 2.32 KB
Part 06-Module 01-Lesson 02_Data Structures/10. Nd113 C5 L02 09 L Adding Labels V2-VZcXBAHs5ts.en.vtt 2.32 KB
Part 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.th.vtt 2.31 KB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/04. Nd113 C7 02 L Introducing Tarin V2-us2b__pBR8Y.en.vtt 2.31 KB
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.es-ES.vtt 2.3 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.en.vtt 2.28 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.pt-BR.vtt 2.28 KB
Part 06-Module 01-Lesson 03_The Search Problem/19. Search Comparison-RMt_NiyY4nU.en.vtt 2.26 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.en.vtt 2.26 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.zh-CN.vtt 2.25 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.uk.vtt 2.25 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.zh-CN.vtt 2.24 KB
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.it.vtt 2.24 KB
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.pt-PT.vtt 2.22 KB
Part 06-Module 01-Lesson 03_The Search Problem/34. Problems With Search-5RmTKsNoG6M.zh-CN.vtt 2.22 KB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/43. Nd113 C7 40 L Convolution In Self-Driving Cars-nz7rOTZ99X4.en.vtt 2.22 KB
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.pt.vtt 2.22 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates-VLrJ01wEajw.pt-BR.vtt 2.22 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.ar.vtt 2.21 KB
Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.th.vtt 2.2 KB
Part 06-Module 01-Lesson 02_Data Structures/05. Nd113 C5 L02 05 L Representing A Single Ticket V1 RENDER V1-wXTASv5R-VQ.en.vtt 2.2 KB
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.ar.vtt 2.19 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.es-ES.vtt 2.19 KB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.zh-CN.vtt 2.19 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.ja.vtt 2.19 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data-vhl-SADfti8.ar.vtt 2.19 KB
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.en.vtt 2.18 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/03. Motion Models-qSdbn_PVQnk.zh-CN.vtt 2.17 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.ja.vtt 2.17 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/39. Solution Step IV-H1oVKsgSsi0.ar.vtt 2.17 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.pt-BR.vtt 2.17 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.pt-BR.vtt 2.17 KB
Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.en.vtt 2.16 KB
Part 06-Module 01-Lesson 02_Data Structures/10. Nd113 C5 L02 09 L Adding Labels V2-VZcXBAHs5ts.zh-CN.vtt 2.16 KB
Part 06-Module 01-Lesson 03_The Search Problem/02. Welcome to Search!-pHySYq-wghU.en.vtt 2.16 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.en.vtt 2.15 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.zh-CN.vtt 2.13 KB
Part 05-Module 01-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.zh-CN.vtt 2.13 KB
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.zh-CN.vtt 2.12 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.zh-CN.vtt 2.12 KB
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.ar.vtt 2.12 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.ja.vtt 2.12 KB
Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.it.vtt 2.11 KB
Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.es-ES.vtt 2.1 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates-VLrJ01wEajw.zh-CN.vtt 2.1 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.en.vtt 2.1 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.it.vtt 2.09 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/06. Delta X Over Delta T-AsBTLDf0vQs.zh-CN.vtt 2.08 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.es-ES.vtt 2.08 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.es.vtt 2.08 KB
Part 06-Module 01-Lesson 03_The Search Problem/31. Sliding Blocks Puzzle-Dzah_49isp8.zh-CN.vtt 2.08 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-HTL5-0DDqE4.es-ES.vtt 2.08 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.es-AR.vtt 2.07 KB
Part 06-Module 01-Lesson 03_The Search Problem/19. Search Comparison-RMt_NiyY4nU.zh-CN.vtt 2.06 KB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/04. Nd113 C7 02 L Introducing Tarin V2-us2b__pBR8Y.zh-CN.vtt 2.05 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.th.vtt 2.05 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/02. Nd113 C6 L1 01 Inertial Navigation V1 (1)-vWgG0d2HOVE.en.vtt 2.05 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/14. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.en.vtt 2.04 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.pt-BR.vtt 2.04 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.en.vtt 2.04 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.zh-CN.vtt 2.03 KB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/03. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.zh-CN.vtt 2.03 KB
Part 06-Module 01-Lesson 03_The Search Problem/12. Breath First Search 5-eyN4162UjH8.en.vtt 2.02 KB
Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.en.vtt 2.02 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.zh-CN.vtt 2.02 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.ar.vtt 2.01 KB
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.ar.vtt 2.01 KB
Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.th.vtt 2 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.ja.vtt 1.99 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.pt-PT.vtt 1.99 KB
Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.it.vtt 1.99 KB
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.pt-PT.vtt 1.99 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.pt.vtt 1.99 KB
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.pt.vtt 1.99 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-8c479K2UCZo.ja.vtt 1.99 KB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/27. Nd113 C7 25 L Day And Night Classification NEEDS ANM V1-bsra6mwtw7U.en.vtt 1.99 KB
Part 06-Module 01-Lesson 02_Data Structures/05. Nd113 C5 L02 05 L Representing A Single Ticket V1 RENDER V1-wXTASv5R-VQ.zh-CN.vtt 1.99 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.pt-BR.vtt 1.98 KB
Part 06-Module 01-Lesson 02_Data Structures/02. Tracking Tickets RENDER 1 V1-6sbn7ECEOys.en.vtt 1.98 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/09. Nd113 C2 L3 08 L Look At Where We Are V2-5EjWMSV-0wo.en.vtt 1.98 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.zh-CN.vtt 1.98 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.ja.vtt 1.98 KB
Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.es-ES.vtt 1.98 KB
Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.ar.vtt 1.97 KB
Part 01-Module 01-Lesson 01_Introduction/09. Intro to Self-Driving Cars Expectations for this Nanodegree-TTOhBB7QaUg.en.vtt 1.97 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.es-ES.vtt 1.95 KB
Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.zh-CN.vtt 1.95 KB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/12. Solving Trig Problems Part1-qI4i845d7Qg.zh-CN.vtt 1.95 KB
Part 02-Module 01-Lesson 01_Introduction/01. The Wonderland of Probability and Bayes' Rule-gfFWpMehzpk.zh-CN.vtt 1.94 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.th.vtt 1.94 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.en-GB.vtt 1.93 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.en.vtt 1.92 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-5vjhu_cssNQ.uk.vtt 1.92 KB
Part 06-Module 01-Lesson 03_The Search Problem/02. Welcome to Search!-pHySYq-wghU.zh-CN.vtt 1.92 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-HTL5-0DDqE4.en.vtt 1.92 KB
Part 06-Module 01-Lesson 03_The Search Problem/12. Breath First Search 5-eyN4162UjH8.zh-CN.vtt 1.92 KB
Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-U8I0vgojlcY.es-ES.vtt 1.92 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/10. L1 09 V2-b-zB9Bs8zKQ.en.vtt 1.91 KB
Part 04-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.en.vtt 1.91 KB
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.pt-BR.vtt 1.91 KB
Part 02-Module 01-Lesson 01_Introduction/01. The Wonderland of Probability and Bayes' Rule-gfFWpMehzpk.en.vtt 1.91 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/16. Try an Example-X29RjzKHsWU.ar.vtt 1.9 KB
Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.en.vtt 1.9 KB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/45. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.en.vtt 1.9 KB
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.es-ES.vtt 1.9 KB
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.es.vtt 1.9 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.en.vtt 1.89 KB
Part 06-Module 01-Lesson 03_The Search Problem/20. Search Comparison 1-JbJMxp3Lva4.en.vtt 1.89 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-HTL5-0DDqE4.ja.vtt 1.89 KB
Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.ja.vtt 1.89 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-R4zq6mPPMxs.ar.vtt 1.89 KB
Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.it.vtt 1.89 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/01. Reducing Uncertainty-zuFMhmKQ--o.ar.vtt 1.88 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-doyrdLJ6rJ4.es-ES.vtt 1.88 KB
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.it.vtt 1.88 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-doyrdLJ6rJ4.es-ES.vtt 1.88 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.pt-BR.vtt 1.88 KB
Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.ja.vtt 1.87 KB
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.en.vtt 1.87 KB
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.it.vtt 1.87 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.zh-CN.vtt 1.86 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data-vhl-SADfti8.pt-BR.vtt 1.86 KB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/32. Nd113 C7 29 L Features-HshygbfQylA.en.vtt 1.86 KB
Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.ja.vtt 1.85 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.uk.vtt 1.85 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-8c479K2UCZo.es-ES.vtt 1.85 KB
Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.th.vtt 1.84 KB
Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.th.vtt 1.84 KB
Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.es-ES.vtt 1.84 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.ar.vtt 1.84 KB
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.zh-CN.vtt 1.84 KB
Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-U8I0vgojlcY.en.vtt 1.84 KB
Part 01-Module 01-Lesson 01_Introduction/09. Intro to Self-Driving Cars Expectations for this Nanodegree-TTOhBB7QaUg.zh-CN.vtt 1.83 KB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/15. L2 18 V2-nCJQl2kH8bY.en.vtt 1.83 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/02. Nd113 C6 L1 01 Inertial Navigation V1 (1)-vWgG0d2HOVE.zh-CN.vtt 1.83 KB
Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.pt-BR.vtt 1.83 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-lDykH1UHq38.ru.vtt 1.83 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.en.vtt 1.83 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.zh-CN.vtt 1.82 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-gPfkboHV3QA.en.vtt 1.82 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.ja.vtt 1.82 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-doyrdLJ6rJ4.ja.vtt 1.81 KB
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Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.th.vtt 1.81 KB
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Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.it.vtt 1.76 KB
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Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-doyrdLJ6rJ4.en.vtt 1.76 KB
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Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.pt-BR.vtt 1.76 KB
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Part 08-Module 01-Lesson 01_Computer Vision and Classification/31. Feature Extraction-DkmLO7PKhy8.en.vtt 1.75 KB
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Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.es-ES.vtt 1.72 KB
Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.pt-PT.vtt 1.72 KB
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Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.en.vtt 1.71 KB
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Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.pt.vtt 1.69 KB
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.th.vtt 1.69 KB
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Part 08-Module 01-Lesson 01_Computer Vision and Classification/27. Nd113 C7 25 L Day And Night Classification NEEDS ANM V1-bsra6mwtw7U.zh-CN.vtt 1.68 KB
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Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.pt-PT.vtt 1.68 KB
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Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.es-MX.vtt 1.67 KB
Part 04-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt 1.67 KB
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Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-doyrdLJ6rJ4.zh-CN.vtt 1.66 KB
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Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.es.vtt 1.64 KB
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Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.zh-CN.vtt 1.63 KB
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.ja.vtt 1.62 KB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/32. Nd113 C7 29 L Features-HshygbfQylA.zh-CN.vtt 1.62 KB
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.en.vtt 1.61 KB
Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-U8I0vgojlcY.zh-CN.vtt 1.61 KB
Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-eIjyrQpDogg.ja.vtt 1.6 KB
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Part 02-Module 01-Lesson 02_Joy Ride/01. Project Overview-Ij45-DpGejE.en.vtt 1.6 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.zh-CN.vtt 1.6 KB
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.th.vtt 1.6 KB
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Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.ja.vtt 1.59 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.ar.vtt 1.59 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data-vhl-SADfti8.en.vtt 1.59 KB
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Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.ar.vtt 1.58 KB
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Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.pt.vtt 1.58 KB
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Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.ar.vtt 1.58 KB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/15. L2 18 V2-nCJQl2kH8bY.zh-CN.vtt 1.58 KB
Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4Ri4nhHKtU0.zh-CN.vtt 1.57 KB
Part 06-Module 01-Lesson 03_The Search Problem/28. A Search 4-B_rOIxwLzr8.en.vtt 1.57 KB
Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.ja.vtt 1.57 KB
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Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.es-ES.vtt 1.56 KB
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Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.es.vtt 1.56 KB
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.zh-CN.vtt 1.55 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.ar.vtt 1.55 KB
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.es-ES.vtt 1.55 KB
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Part 08-Module 01-Lesson 01_Computer Vision and Classification/31. Feature Extraction-DkmLO7PKhy8.zh-CN.vtt 1.54 KB
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Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.en.vtt 1.54 KB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/09. Nd113 C6 L3 09 L Trigonometric Ratios V2-wquwvrT9g_U.en.vtt 1.54 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.ja.vtt 1.54 KB
Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.es-ES.vtt 1.53 KB
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.pt-BR.vtt 1.53 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.pt-BR.vtt 1.53 KB
Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.pt-BR.vtt 1.53 KB
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Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.es-ES.vtt 1.53 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-gPfkboHV3QA.pt-BR.vtt 1.52 KB
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Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.ja.vtt 1.52 KB
Part 06-Module 01-Lesson 03_The Search Problem/28. A Search 4-B_rOIxwLzr8.zh-CN.vtt 1.52 KB
Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.en.vtt 1.52 KB
Part 02-Module 01-Lesson 02_Joy Ride/01. Project Overview-Ij45-DpGejE.zh-CN.vtt 1.52 KB
Part 06-Module 01-Lesson 02_Data Structures/03. Nd113 C5 L2 03 L Design Tradeoffs V1-8IpVosy86Fo.en.vtt 1.52 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.ja.vtt 1.52 KB
Part 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.en.vtt 1.52 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.ar.vtt 1.51 KB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/12. Working with Real Data-WvEcWtAz-OQ.en.vtt 1.51 KB
Part 06-Module 01-Lesson 02_Data Structures/01. Nd113 C5 L2 01 L Lesson Overview V1-LLrp9jq381k.en.vtt 1.51 KB
Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.it.vtt 1.51 KB
Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.pt-PT.vtt 1.51 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.ar.vtt 1.51 KB
Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.pt.vtt 1.5 KB
Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.ja.vtt 1.5 KB
Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.zh-CN.vtt 1.5 KB
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.ar.vtt 1.5 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/01. Reducing Uncertainty-zuFMhmKQ--o.pt-BR.vtt 1.5 KB
Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.pt-PT.vtt 1.5 KB
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.hr.vtt 1.5 KB
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Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.pt.vtt 1.5 KB
Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.ja.vtt 1.5 KB
Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.it.vtt 1.49 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/22. State Vector-st26ov_TVwM.en.vtt 1.49 KB
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/01. L2 01 V2-GRgbA3XBy6w.en.vtt 1.49 KB
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/07. Quantifying State-9zMbwSqTZAc.en.vtt 1.48 KB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/51. Ends and Beginnings-lCUkFi4fwLY.zh-CN.vtt 1.48 KB
Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.en.vtt 1.48 KB
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Part 02-Module 01-Lesson 06_Bayes' Rule/01. Reducing Uncertainty-zuFMhmKQ--o.en.vtt 1.48 KB
Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-kfPWiMsnWFI.es-ES.vtt 1.48 KB
Part 09-Module 01-Lesson 01_Congratulations! You've finished!/01. Congratulations on completing Intro to Self-Driving Cars!-w640r8wujPw.en.vtt 1.47 KB
Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.es-ES.vtt 1.47 KB
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Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.es.vtt 1.47 KB
Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-_AhoOd8YUK0.es-ES.vtt 1.47 KB
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.en.vtt 1.47 KB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/05. Nd113 C7 03 L Vision And SelfDriving Cars V1-dezDkQ47NaY.en.vtt 1.46 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-R4zq6mPPMxs.ja.vtt 1.46 KB
Part 06-Module 01-Lesson 03_The Search Problem/30. Optimistic Heuristic-Q5YJtZc37uc.zh-CN.vtt 1.46 KB
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Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.zh-CN.vtt 1.45 KB
Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-PNiaE1fy-7k.en.vtt 1.45 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-tSfmiuB9s2c.es-ES.vtt 1.45 KB
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Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.ar.vtt 1.45 KB
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Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-R4zq6mPPMxs.en.vtt 1.44 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.ru.vtt 1.44 KB
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Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.en.vtt 1.44 KB
Part 04-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.zh-CN.vtt 1.44 KB
Part 06-Module 01-Lesson 02_Data Structures/19. Nd113 C5 L2 17 L Conclusion V1-a3Q8QSjpVHQ.en.vtt 1.44 KB
Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-_AhoOd8YUK0.it.vtt 1.43 KB
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Part 05-Module 01-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.en.vtt 1.23 KB
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Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.pt-BR.vtt 1.16 KB
Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-oZDLtTdhDy4.en.vtt 1.15 KB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/15. Conclusion-gMbDqd4ItiU.en.vtt 1.15 KB
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Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-ZETmw5tFcFU.zh-CN.vtt 1.14 KB
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Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-EhLR8l5XAiQ.es-ES.vtt 1.12 KB
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Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.pt.vtt 1.1 KB
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Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.es.vtt 1.1 KB
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.ar.vtt 1.09 KB
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Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.it.vtt 1.08 KB
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.th.vtt 1.08 KB
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/03. L1 02 B V2-AFuQ1i3eUN8.zh-CN.vtt 1.08 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-lDykH1UHq38.zh-CN.vtt 1.08 KB
Part 03-Module 01-Lesson 05_Implement Matrix Class/01. Nd113P2 C2 L5 01 L Implement Matrix-0Ie9IxW9VDw.zh-CN.vtt 1.08 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.ja.vtt 1.08 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.en.vtt 1.07 KB
Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.it.vtt 1.07 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.ja.vtt 1.07 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.ar.vtt 1.07 KB
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.it.vtt 1.07 KB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/15. Conclusion-gMbDqd4ItiU.zh-CN.vtt 1.07 KB
Part 02-Module 01-Lesson 08_Probability Distributions/02. Intro To Probability Distribution 1-gqPjMDVFvNg.en.vtt 1.07 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.es-ES.vtt 1.07 KB
Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.zh-CN.vtt 1.07 KB
Part 02-Module 01-Lesson 03_Probability/03. Learning Objectives Explained-tAkq3iZLJ-c.zh-CN.vtt 1.07 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.ja.vtt 1.06 KB
Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-BlC2BwoDxL8.es-ES.vtt 1.06 KB
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.ar.vtt 1.06 KB
Part 02-Module 01-Lesson 04_Conditional Probability/04. Dependent Events and Conditional Probability-GDWdCH4ilDI.en.vtt 1.06 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-_AAkw_fynwc.es-ES.vtt 1.05 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.pt-BR.vtt 1.05 KB
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Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.pt.vtt 1.05 KB
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.ar.vtt 1.05 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-5vjhu_cssNQ.pt-BR.vtt 1.05 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.en.vtt 1.05 KB
Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.ja.vtt 1.05 KB
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 05 L Moving At 53 Degrees V2-VmoknN6xLKs.zh-CN.vtt 1.05 KB
Part 06-Module 01-Lesson 03_The Search Problem/22. Search Comparison 3-4KHmQEoqmeI.en.vtt 1.04 KB
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.es-MX.vtt 1.04 KB
Part 02-Module 01-Lesson 03_Probability/12. Probability In Robotics-BKLwvL1D0yE.en.vtt 1.04 KB
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.ja.vtt 1.04 KB
Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.en.vtt 1.04 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.ja.vtt 1.04 KB
Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-v30w4s2djfc.es-ES.vtt 1.04 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-M62yGhjmJoA.zh-CN.vtt 1.04 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.en.vtt 1.04 KB
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.ar.vtt 1.04 KB
Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.th.vtt 1.04 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.en.vtt 1.04 KB
Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.es-ES.vtt 1.03 KB
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/01. Nd113 C2 L3 01 L Connection To Kalman Filters V1-bwaakDKn4nI.zh-CN.vtt 1.03 KB
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.es-ES.vtt 1.03 KB
Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.en.vtt 1.03 KB
Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.es.vtt 1.03 KB
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Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-EhLR8l5XAiQ.ja.vtt 1.03 KB
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.es.vtt 1.03 KB
Part 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.zh-CN.vtt 1.03 KB
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.en.vtt 1.03 KB
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.en.vtt 1.02 KB
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Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.zh-CN.vtt 1.02 KB
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Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.es-ES.vtt 1.02 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/27. Define daysBetweenDates-oM3oyyQKQFU.ja.vtt 1.02 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.pt-BR.vtt 1.01 KB
Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.bn.vtt 1.01 KB
Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-PNiaE1fy-7k.ja.vtt 1.01 KB
Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.ar.vtt 1.01 KB
Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-YCQWVwsCZCk.pt-BR.vtt 1.01 KB
Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.pt-BR.vtt 1.01 KB
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Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.pt-PT.vtt 1 KB
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Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.pt.vtt 1 KB
Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.th.vtt 1 KB
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Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-tiAFliSz9CY.ja.vtt 967 B
Part 06-Module 01-Lesson 03_The Search Problem/15. Uniform Cost Search 2-_cSf_1QNaOY.en.vtt 967 B
Part 02-Module 01-Lesson 05_Programming Probability in Python/01. Learn by Doing-ypPeggeRdTE.en.vtt 967 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.it.vtt 966 B
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.ja.vtt 966 B
Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.pt-BR.vtt 966 B
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.zh-CN.vtt 964 B
Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.en.vtt 964 B
Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.ja.vtt 964 B
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.ar.vtt 963 B
Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.zh-CN.vtt 962 B
Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.zh-CN.vtt 962 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.es-ES.vtt 961 B
Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-tpsUlBbz5Jo.es-ES.vtt 961 B
Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.zh-CN.vtt 961 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.pt-PT.vtt 961 B
Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-M62yGhjmJoA.pt-BR.vtt 960 B
Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-ZETmw5tFcFU.pt-BR.vtt 959 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.pt.vtt 958 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.zh-CN.vtt 958 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.hr.vtt 957 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.es-ES.vtt 957 B
Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.hr.vtt 956 B
Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.en.vtt 953 B
Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.zh-CN.vtt 953 B
Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.en.vtt 952 B
Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.ja.vtt 952 B
Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.en.vtt 951 B
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/27. Working With Matrices-nruxu8pr6i8.en.vtt 951 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.ja.vtt 951 B
Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.ja.vtt 949 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.es-ES.vtt 948 B
Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.zh-CN.vtt 948 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.it.vtt 945 B
Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.pt-BR.vtt 944 B
Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.pt-BR.vtt 944 B
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.zh-CN.vtt 944 B
Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-tpsUlBbz5Jo.en.vtt 943 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.hr.vtt 942 B
Part 02-Module 01-Lesson 08_Probability Distributions/02. Intro To Probability Distribution 1-gqPjMDVFvNg.zh-CN.vtt 942 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.en.vtt 940 B
Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-oZDLtTdhDy4.ja.vtt 938 B
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.pt-BR.vtt 937 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-zc_GQiISQ3E.en.vtt 936 B
Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.ja.vtt 935 B
Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.zh-CN.vtt 930 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.ru.vtt 929 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.ja.vtt 928 B
Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.hr.vtt 926 B
Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.hr.vtt 925 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.ja.vtt 925 B
Part 01-Module 02-Lesson 02_Get Ready/01. Intro to Self-Driving Cars How Did You Do-LGZJrihKAg4.en.vtt 923 B
Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.pt-BR.vtt 923 B
Part 06-Module 01-Lesson 03_The Search Problem/32. Sliding Blocks Puzzle 1-jchVkcBg9HQ.en.vtt 917 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.es-MX.vtt 917 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.it.vtt 915 B
Part 06-Module 01-Lesson 03_The Search Problem/15. Uniform Cost Search 2-_cSf_1QNaOY.zh-CN.vtt 915 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.pt-BR.vtt 914 B
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/11. Trigonometry And Vehicle Motion-WY3T-9GHI_0.en.vtt 914 B
Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.en.vtt 913 B
Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.zh-CN.vtt 912 B
Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.ar.vtt 912 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.ja.vtt 911 B
Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.th.vtt 910 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-_AAkw_fynwc.zh-CN.vtt 909 B
Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.zh-CN.vtt 908 B
Part 06-Module 01-Lesson 02_Data Structures/09. Nd113 C5 L2 08 L Keys And Values V1-1FO2KHIJYwY.zh-CN.vtt 907 B
Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.ar.vtt 905 B
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/08. Lesson Outline-jh7wLGXrm3E.en.vtt 904 B
Part 02-Module 01-Lesson 04_Conditional Probability/04. Dependent Events and Conditional Probability-GDWdCH4ilDI.zh-CN.vtt 904 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.ar.vtt 903 B
Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.ja.vtt 902 B
Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-v30w4s2djfc.zh-CN.vtt 901 B
Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.ja.vtt 900 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.ar.vtt 900 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.ar.vtt 899 B
Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.zh-CN.vtt 899 B
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.pt-BR.vtt 899 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian--9AVZ-N_gbM.en.vtt 898 B
Part 06-Module 01-Lesson 03_The Search Problem/08. Breath First Search 1-70yXCOfKMPA.en.vtt 897 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.es-ES.vtt 897 B
Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.zh-CN.vtt 896 B
Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.ar.vtt 896 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.ja.vtt 896 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.es.vtt 895 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-zc_GQiISQ3E.zh-CN.vtt 894 B
Part 02-Module 01-Lesson 06_Bayes' Rule/02. Bayes' Rule and Robotics-meNSO42JF6I.zh-CN.vtt 892 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.ru.vtt 891 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.zh-CN.vtt 891 B
Part 02-Module 01-Lesson 09_Programming Probability Distributions/01. Nd113 Bayesian L9 01 V1-dWLZSQiN5vI.zh-CN.vtt 888 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.ja.vtt 887 B
Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.ja.vtt 885 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.pt-BR.vtt 884 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian--9AVZ-N_gbM.es-ES.vtt 884 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.en.vtt 883 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.pt-PT.vtt 881 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.es-ES.vtt 880 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.en.vtt 879 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.pt.vtt 878 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.en.vtt 874 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.zh-CN.vtt 874 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.ja.vtt 872 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.it.vtt 871 B
Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.en.vtt 870 B
Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-BlC2BwoDxL8.zh-CN.vtt 869 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.es-ES.vtt 869 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.en-GB.vtt 868 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.it.vtt 866 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.pt-BR.vtt 866 B
Part 06-Module 01-Lesson 03_The Search Problem/13. Uniform Cost Search-oPe45CJ_o0k.en.vtt 866 B
Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.en-US.vtt 865 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.pt-PT.vtt 861 B
Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.en.vtt 860 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-PsyqM704q2Y.ja.vtt 859 B
Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.pt-BR.vtt 859 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.pt.vtt 858 B
Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-v30w4s2djfc.ja.vtt 858 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian--9AVZ-N_gbM.ja.vtt 857 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.en.vtt 856 B
Part 02-Module 01-Lesson 09_Programming Probability Distributions/01. Nd113 Bayesian L9 01 V1-dWLZSQiN5vI.en.vtt 855 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.hr.vtt 854 B
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/27. Working With Matrices-nruxu8pr6i8.zh-CN.vtt 853 B
Part 02-Module 01-Lesson 05_Programming Probability in Python/01. Learn by Doing-ypPeggeRdTE.zh-CN.vtt 851 B
Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.es-ES.vtt 851 B
Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-tiAFliSz9CY.pt-BR.vtt 851 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.es-ES.vtt 850 B
Part 06-Module 01-Lesson 03_The Search Problem/29. A Search 5-7d4iHfJXPso.en.vtt 849 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.ar.vtt 847 B
Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.ja.vtt 846 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.en.vtt 846 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.ar.vtt 845 B
Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.es-ES.vtt 845 B
Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.ar.vtt 844 B
Part 06-Module 01-Lesson 03_The Search Problem/08. Breath First Search 1-70yXCOfKMPA.zh-CN.vtt 844 B
Part 06-Module 01-Lesson 03_The Search Problem/32. Sliding Blocks Puzzle 1-jchVkcBg9HQ.zh-CN.vtt 843 B
Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.ja.vtt 841 B
Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-tpsUlBbz5Jo.zh-CN.vtt 841 B
Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.zh-CN.vtt 840 B
Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.ar.vtt 838 B
Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.it.vtt 837 B
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.es-ES.vtt 837 B
Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example--eAKNo9cA6Y.ja.vtt 837 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.bn.vtt 833 B
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.it.vtt 832 B
Part 06-Module 01-Lesson 03_The Search Problem/10. Breath First Search 3--ed_C9x8rWs.en.vtt 830 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.bn.vtt 830 B
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.ar.vtt 829 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-PsyqM704q2Y.es-ES.vtt 829 B
Part 06-Module 01-Lesson 04_Implement Route Planner/01. Nd113 Navigating L3 01 V1-NGSaeofqZPc.en.vtt 828 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.zh-CN.vtt 828 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.en.vtt 826 B
Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.pt-PT.vtt 825 B
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/08. Lesson Outline-jh7wLGXrm3E.zh-CN.vtt 824 B
Part 06-Module 01-Lesson 03_The Search Problem/14. Uniform Cost Search 1-nBdlU4jIDqU.en.vtt 823 B
Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.pt.vtt 822 B
Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.zh-CN.vtt 821 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian--9AVZ-N_gbM.zh-CN.vtt 821 B
Part 06-Module 01-Lesson 03_The Search Problem/13. Uniform Cost Search-oPe45CJ_o0k.zh-CN.vtt 820 B
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.ja.vtt 819 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-DV2cX9W0tT8.es-ES.vtt 819 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.zh-CN.vtt 817 B
Part 01-Module 02-Lesson 02_Get Ready/01. Intro to Self-Driving Cars How Did You Do-LGZJrihKAg4.zh-CN.vtt 817 B
Part 06-Module 01-Lesson 01_How to Solve Problems/02. Nd113 C5 L1 02 L About This Lesson V1-XOSFGuB2mRs.en.vtt 814 B
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/05. L1 04 B V2-jR7_6Zqq228.en.vtt 813 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.th.vtt 813 B
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.ja.vtt 813 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.it.vtt 810 B
Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.it.vtt 810 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.es-ES.vtt 809 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.zh-CN.vtt 806 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.es.vtt 806 B
Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.ja.vtt 805 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.en-GB.vtt 804 B
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/07. L1 06 B V2-GRaIUM6s6B4.en.vtt 800 B
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.ar.vtt 799 B
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.en.vtt 798 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.en.vtt 798 B
Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.zh-CN.vtt 795 B
Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-tiAFliSz9CY.en.vtt 794 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.hr.vtt 792 B
Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary-w5fm_dJrImE.es-ES.vtt 791 B
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.en.vtt 790 B
Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.en.vtt 789 B
Part 06-Module 01-Lesson 03_The Search Problem/14. Uniform Cost Search 1-nBdlU4jIDqU.zh-CN.vtt 789 B
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.es-ES.vtt 789 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.zh-CN.vtt 787 B
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.es.vtt 787 B
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.en.vtt 786 B
Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.zh-CN.vtt 785 B
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.it.vtt 785 B
Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.en.vtt 784 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.ar.vtt 783 B
Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-dyqgMA5zRko.es-ES.vtt 783 B
Part 02-Module 01-Lesson 04_Conditional Probability/02. Introduction To Conditional Probability--_j5NZN2Tfs.en.vtt 781 B
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.zh-CN.vtt 779 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.th.vtt 779 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.th.vtt 777 B
Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-3XiisY0IPPU.ja.vtt 777 B
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.es-ES.vtt 777 B
Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary-w5fm_dJrImE.en.vtt 775 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.ru.vtt 774 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-PsyqM704q2Y.en.vtt 773 B
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.th.vtt 772 B
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.en.vtt 772 B
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/11. Trigonometry And Vehicle Motion-WY3T-9GHI_0.zh-CN.vtt 772 B
Part 06-Module 01-Lesson 04_Implement Route Planner/01. Nd113 Navigating L3 01 V1-NGSaeofqZPc.zh-CN.vtt 772 B
Part 05-Module 01-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.en.vtt 770 B
Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-0gcTEExMH3k.en.vtt 770 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.pt-BR.vtt 769 B
Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.th.vtt 768 B
Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.it.vtt 767 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.zh-CN.vtt 767 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.zh-CN.vtt 767 B
Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.ar.vtt 765 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.it.vtt 764 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.ja.vtt 762 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-DV2cX9W0tT8.en.vtt 762 B
Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.pt-BR.vtt 761 B
Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.ar.vtt 761 B
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/05. L1 04 B V2-jR7_6Zqq228.zh-CN.vtt 760 B
Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.zh-Hans.vtt 760 B
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/10. Objects-H8EBnCkKcds.en.vtt 759 B
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.es-ES.vtt 757 B
Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-96Cao3VKUok.es-ES.vtt 756 B
Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.ja.vtt 755 B
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.pt-BR.vtt 753 B
Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.zh-CN.vtt 752 B
Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-0gcTEExMH3k.es-ES.vtt 750 B
Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.zh-CN.vtt 750 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.es-ES.vtt 748 B
Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-dSyPBL0jozI.es-ES.vtt 747 B
Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.es-ES.vtt 746 B
Part 06-Module 01-Lesson 03_The Search Problem/10. Breath First Search 3--ed_C9x8rWs.zh-CN.vtt 743 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.it.vtt 742 B
Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-dyqgMA5zRko.en.vtt 738 B
Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.pt-BR.vtt 738 B
Part 02-Module 01-Lesson 04_Conditional Probability/01. Conditional Probability-Fda3U2HGNVM.en.vtt 736 B
Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.pt-BR.vtt 735 B
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.en.vtt 734 B
Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example--eAKNo9cA6Y.en.vtt 734 B
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.ja.vtt 730 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.es-ES.vtt 729 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.th.vtt 729 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.pt-BR.vtt 728 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.es-ES.vtt 728 B
Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.ja.vtt 727 B
Part 05-Module 01-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.zh-CN.vtt 726 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.bn.vtt 725 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.it.vtt 724 B
Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-96Cao3VKUok.en.vtt 724 B
Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary-w5fm_dJrImE.zh-CN.vtt 724 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.th.vtt 723 B
Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-96Cao3VKUok.ja.vtt 722 B
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.ja.vtt 722 B
Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-dSyPBL0jozI.en.vtt 718 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.ja.vtt 717 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.ar.vtt 717 B
Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.th.vtt 717 B
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.ja.vtt 716 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.en.vtt 715 B
Part 02-Module 01-Lesson 04_Conditional Probability/02. Introduction To Conditional Probability--_j5NZN2Tfs.zh-CN.vtt 714 B
Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.en.vtt 714 B
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.zh-CN.vtt 713 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.bn.vtt 713 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.it.vtt 712 B
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/10. Objects-H8EBnCkKcds.zh-CN.vtt 711 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-DV2cX9W0tT8.zh-CN.vtt 711 B
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.zh-CN.vtt 708 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-QAqsIWVVX0Y.es-ES.vtt 708 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.pt-BR.vtt 705 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.pt-PT.vtt 705 B
Part 06-Module 01-Lesson 03_The Search Problem/29. A Search 5-7d4iHfJXPso.zh-CN.vtt 705 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.en.vtt 704 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.pt.vtt 702 B
Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.pt-BR.vtt 702 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.it.vtt 702 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.th.vtt 700 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.pt-PT.vtt 698 B
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/07. L1 06 B V2-GRaIUM6s6B4.zh-CN.vtt 698 B
Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.it.vtt 697 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-DV2cX9W0tT8.ja.vtt 697 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-PsyqM704q2Y.zh-CN.vtt 696 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.pt.vtt 696 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.es-ES.vtt 695 B
Part 06-Module 01-Lesson 01_How to Solve Problems/02. Nd113 C5 L1 02 L About This Lesson V1-XOSFGuB2mRs.zh-CN.vtt 695 B
Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.pt-BR.vtt 695 B
Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.pt-BR.vtt 695 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.it.vtt 695 B
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.it.vtt 695 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.es.vtt 693 B
Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example--eAKNo9cA6Y.pt-BR.vtt 693 B
Part 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example--eAKNo9cA6Y.zh-CN.vtt 691 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.hr.vtt 690 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-QAqsIWVVX0Y.ja.vtt 688 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.pt-BR.vtt 688 B
Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.ja.vtt 688 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.pt-BR.vtt 687 B
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.es-ES.vtt 686 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.pt-PT.vtt 685 B
Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-tpsUlBbz5Jo.ja.vtt 684 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-mQtjczyAxQs.es-ES.vtt 684 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.bn.vtt 684 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.ar.vtt 684 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.pt.vtt 682 B
Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.en.vtt 682 B
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.es-ES.vtt 682 B
Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-PNiaE1fy-7k.es-ES.vtt 682 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.es-ES.vtt 681 B
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.pt-BR.vtt 680 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.es-ES.vtt 679 B
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.es-ES.vtt 679 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.th.vtt 677 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.zh-CN.vtt 676 B
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.zh-CN.vtt 675 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.es-ES.vtt 673 B
Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.es-ES.vtt 671 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.ar.vtt 670 B
Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-0gcTEExMH3k.zh-CN.vtt 670 B
Part 02-Module 01-Lesson 04_Conditional Probability/01. Conditional Probability-Fda3U2HGNVM.zh-CN.vtt 670 B
Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.ja.vtt 669 B
Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.pt-BR.vtt 669 B
Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.en.vtt 668 B
Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-3XiisY0IPPU.en.vtt 668 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.th.vtt 667 B
Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-96Cao3VKUok.zh-CN.vtt 667 B
Part 02-Module 01-Lesson 04_Conditional Probability/03. Estimating Based on Conditions-RAIkZUZ2BeY.en.vtt 664 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.ja.vtt 664 B
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.ar.vtt 663 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.en.vtt 663 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.en.vtt 659 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.zh-CN.vtt 658 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.ja.vtt 657 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.th.vtt 657 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.it.vtt 656 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.es-ES.vtt 656 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.en.vtt 656 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.en.vtt 655 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.th.vtt 654 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-QAqsIWVVX0Y.en.vtt 654 B
Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.pt-BR.vtt 654 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.ru.vtt 653 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.th.vtt 653 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-mQtjczyAxQs.en.vtt 651 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.ar.vtt 650 B
Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-tiAFliSz9CY.zh-CN.vtt 648 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.en.vtt 646 B
Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.ar.vtt 646 B
Part 06-Module 01-Lesson 03_The Search Problem/11. Breath First Search 4-WOANyG8rf0k.zh-CN.vtt 646 B
Part 06-Module 01-Lesson 03_The Search Problem/25. A Search 1-yMUqkCzFXts.en.vtt 645 B
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.it.vtt 644 B
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-SK3cnmu8BYU.es-ES.vtt 643 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.pt-BR.vtt 642 B
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.pt-PT.vtt 641 B
Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.hr.vtt 640 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.ar.vtt 640 B
Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.pt.vtt 639 B
Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4FbhjgHIu10.es-ES.vtt 639 B
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.hr.vtt 637 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.ru.vtt 636 B
Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.en.vtt 636 B
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.en.vtt 635 B
Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.th.vtt 634 B
Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.zh-CN.vtt 633 B
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.en.vtt 633 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.it.vtt 631 B
Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-0gcTEExMH3k.ja.vtt 631 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.en.vtt 630 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.zh-CN.vtt 630 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-oFpvcWEllBs.es-ES.vtt 629 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.zh-CN.vtt 629 B
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.ja.vtt 627 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.ar.vtt 626 B
Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.it.vtt 625 B
Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-1DVj00gpDOk.ar.vtt 624 B
Part 06-Module 01-Lesson 03_The Search Problem/11. Breath First Search 4-WOANyG8rf0k.en.vtt 624 B
Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary-w5fm_dJrImE.ja.vtt 623 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.ja.vtt 623 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.zh-CN.vtt 623 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.ja.vtt 623 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.zh-CN.vtt 622 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-Lwn6FJgyyYI.es-ES.vtt 622 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-mQtjczyAxQs.ja.vtt 621 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-oFpvcWEllBs.en.vtt 621 B
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.ja.vtt 621 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.pt-BR.vtt 620 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.es-MX.vtt 619 B
Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.ja.vtt 619 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.ja.vtt 618 B
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.es-ES.vtt 618 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.it.vtt 618 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.en.vtt 617 B
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.ja.vtt 617 B
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.ru.vtt 617 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.zh-CN.vtt 616 B
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.es.vtt 616 B
Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-dyqgMA5zRko.zh-CN.vtt 616 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.ar.vtt 615 B
Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-TxNrRo3jNAM.ja.vtt 615 B
Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-3XiisY0IPPU.zh-CN.vtt 614 B
Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-TxNrRo3jNAM.es-ES.vtt 613 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.es-ES.vtt 611 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.ja.vtt 610 B
Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-aS0c5RrnPxU.es-ES.vtt 610 B
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.en.vtt 610 B
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.zh-CN.vtt 609 B
Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.es-ES.vtt 608 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-TGdMG81hXc8.es-ES.vtt 608 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.ja.vtt 608 B
Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-dSyPBL0jozI.zh-CN.vtt 606 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.th.vtt 604 B
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-SK3cnmu8BYU.en.vtt 604 B
Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.pt-BR.vtt 604 B
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-SK3cnmu8BYU.ja.vtt 603 B
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.pt-PT.vtt 603 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.th.vtt 603 B
Part 03-Module 01-Lesson 05_Implement Matrix Class/06. Nd113 Story 3 V1-Wa1CFHf3k54.en.vtt 602 B
Part 06-Module 01-Lesson 03_The Search Problem/27. A Search 3-POXZl2jVy_4.en.vtt 601 B
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.pt.vtt 600 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.hr.vtt 599 B
Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.pt-BR.vtt 598 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.it.vtt 598 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.pt-BR.vtt 597 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.ja.vtt 597 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.ja.vtt 596 B
Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.ja.vtt 594 B
Part 04-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.en.vtt 593 B
Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4FbhjgHIu10.en.vtt 593 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-0FmTokjoRgo.ja.vtt 592 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.ar.vtt 591 B
Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-Vohy3kpnBsk.es-ES.vtt 591 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.pt-BR.vtt 589 B
Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.zh-CN.vtt 589 B
Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.pl.vtt 588 B
Part 06-Module 01-Lesson 03_The Search Problem/25. A Search 1-yMUqkCzFXts.zh-CN.vtt 588 B
Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-aS0c5RrnPxU.en.vtt 587 B
Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-dSyPBL0jozI.ja.vtt 586 B
Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.zh-CN.vtt 585 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.ja.vtt 584 B
Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.ar.vtt 584 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-oFpvcWEllBs.zh-CN.vtt 583 B
Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.en.vtt 583 B
Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.zh-CN.vtt 582 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.es-ES.vtt 582 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.th.vtt 579 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.es.vtt 579 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.th.vtt 578 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.zh-CN.vtt 577 B
Part 02-Module 01-Lesson 04_Conditional Probability/03. Estimating Based on Conditions-RAIkZUZ2BeY.zh-CN.vtt 577 B
Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.es-ES.vtt 575 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-QAqsIWVVX0Y.zh-CN.vtt 575 B
Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-TxNrRo3jNAM.en.vtt 575 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.hr.vtt 575 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.es-ES.vtt 575 B
Part 06-Module 01-Lesson 03_The Search Problem/27. A Search 3 Solution-Njd5k_I6Sqo.en.vtt 573 B
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-SK3cnmu8BYU.zh-CN.vtt 573 B
Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.es.vtt 573 B
Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.zh-CN.vtt 573 B
Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.zh-CN.vtt 572 B
Part 04-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.zh-CN.vtt 572 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-mQtjczyAxQs.zh-CN.vtt 572 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-oFpvcWEllBs.ja.vtt 571 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.it.vtt 571 B
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.pt-BR.vtt 570 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.pt-PT.vtt 570 B
Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.en.vtt 569 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.pt.vtt 567 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.zh-CN.vtt 567 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.es-ES.vtt 566 B
Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.hr.vtt 565 B
Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-kieducUmiD0.zh-CN.vtt 565 B
Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-Vohy3kpnBsk.en.vtt 563 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.ar.vtt 562 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-HmcurWkA0fQ.ja.vtt 562 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-Lwn6FJgyyYI.en.vtt 561 B
Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.en.vtt 561 B
Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-1DVj00gpDOk.ja.vtt 560 B
Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.es-ES.vtt 560 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.zh-CN.vtt 558 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.ar.vtt 558 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.en.vtt 558 B
Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.ja.vtt 557 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-2BfisMbu86o.es-ES.vtt 556 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-0FmTokjoRgo.es-ES.vtt 554 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.th.vtt 554 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.en.vtt 553 B
Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-dyqgMA5zRko.ja.vtt 553 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.zh-CN.vtt 553 B
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.it.vtt 552 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.it.vtt 551 B
Part 06-Module 01-Lesson 03_The Search Problem/27. A Search 3-POXZl2jVy_4.zh-CN.vtt 550 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.en.vtt 549 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-TGdMG81hXc8.en.vtt 549 B
Part 02-Module 01-Lesson 12_Histogram Filter in Python/01. Project Overview-uaWZNKGTtgM.en.vtt 549 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.th.vtt 548 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-HmcurWkA0fQ.es-ES.vtt 548 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.pt-BR.vtt 547 B
Part 01-Module 01-Lesson 01_Introduction/10. Intro to Self-Driving Cars Readiness Introduction-sWKwL3NBa_E.en.vtt 547 B
Part 02-Module 01-Lesson 08_Probability Distributions/01. Probability Distribution-Srt0yZSCrbY.en.vtt 547 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.ar.vtt 547 B
Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.pt-BR.vtt 545 B
Part 06-Module 01-Lesson 03_The Search Problem/27. A Search 3 Solution-Njd5k_I6Sqo.zh-CN.vtt 545 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.ar.vtt 544 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-2BfisMbu86o.en.vtt 543 B
Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-kieducUmiD0.en.vtt 543 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.ja.vtt 541 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.th.vtt 541 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.en.vtt 541 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-2BfisMbu86o.ja.vtt 540 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-HmcurWkA0fQ.en.vtt 539 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.hr.vtt 539 B
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/19. Outro-K1Pj-cr1nFc.en.vtt 538 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.zh-CN.vtt 538 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.ru.vtt 537 B
Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.en.vtt 537 B
Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-aS0c5RrnPxU.zh-CN.vtt 537 B
Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4FbhjgHIu10.zh-CN.vtt 536 B
Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-kieducUmiD0.ja.vtt 536 B
Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.zh-CN.vtt 536 B
Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-Vohy3kpnBsk.ja.vtt 536 B
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.es-ES.vtt 535 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-Lwn6FJgyyYI.ja.vtt 534 B
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.ja.vtt 532 B
Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.zh-CN.vtt 531 B
Part 03-Module 01-Lesson 05_Implement Matrix Class/06. Nd113 Story 3 V1-Wa1CFHf3k54.zh-CN.vtt 531 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.es-ES.vtt 531 B
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.pt-BR.vtt 530 B
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.hr.vtt 530 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-TGdMG81hXc8.ja.vtt 528 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.ja.vtt 527 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-TGdMG81hXc8.zh-CN.vtt 526 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.ja.vtt 525 B
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.ar.vtt 524 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.en.vtt 524 B
Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.zh-CN.vtt 523 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.pt-BR.vtt 523 B
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 055 L Moving At 53 Degrees Solution V2-Y_3M6eeYbd8.en.vtt 522 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.es-ES.vtt 522 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.it.vtt 522 B
Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.zh-CN.vtt 521 B
Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-TxNrRo3jNAM.zh-CN.vtt 520 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.es.vtt 519 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.ar.vtt 518 B
Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.bn.vtt 518 B
Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.hr.vtt 517 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-0FmTokjoRgo.en.vtt 517 B
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.zh-CN.vtt 516 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-HB8b7sZQFGs.pt-BR.vtt 516 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.ja.vtt 516 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.ar.vtt 516 B
Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.zh-CN.vtt 515 B
Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-aS0c5RrnPxU.ja.vtt 514 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.zh-CN.vtt 514 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.zh-CN.vtt 513 B
Part 02-Module 01-Lesson 12_Histogram Filter in Python/01. Project Overview-uaWZNKGTtgM.zh-CN.vtt 511 B
Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-Vohy3kpnBsk.zh-CN.vtt 511 B
Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.ar.vtt 509 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.en.vtt 508 B
Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.pt-PT.vtt 506 B
Part 06-Module 01-Lesson 04_Implement Route Planner/04. Nd113 Navigating Last Video V1-yJfKK3Mg-BE.zh-CN.vtt 506 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.es-MX.vtt 506 B
Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-3XiisY0IPPU.pt-BR.vtt 505 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.it.vtt 504 B
Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.pt.vtt 503 B
Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.en.vtt 503 B
Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.it.vtt 501 B
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.pt-BR.vtt 501 B
Part 02-Module 01-Lesson 08_Probability Distributions/01. Probability Distribution-Srt0yZSCrbY.zh-CN.vtt 500 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.bn.vtt 500 B
Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.ja.vtt 500 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.pt-PT.vtt 499 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.pt-BR.vtt 498 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.ja.vtt 498 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.pt-BR.vtt 497 B
Part 01-Module 01-Lesson 01_Introduction/10. Intro to Self-Driving Cars Readiness Introduction-sWKwL3NBa_E.zh-CN.vtt 497 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.pt.vtt 496 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.pt-BR.vtt 496 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.pt-BR.vtt 495 B
Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.en.vtt 495 B
Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.zh-CN.vtt 495 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.es-MX.vtt 493 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.zh-CN.vtt 492 B
Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.ar.vtt 491 B
Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.zh-CN.vtt 487 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.en.vtt 486 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.pt-PT.vtt 484 B
Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.ar.vtt 481 B
Part 06-Module 01-Lesson 04_Implement Route Planner/04. Nd113 Navigating Last Video V1-yJfKK3Mg-BE.en.vtt 481 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.pt.vtt 481 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.es-ES.vtt 480 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.th.vtt 480 B
Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.es-ES.vtt 478 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.it.vtt 476 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.pt-PT.vtt 475 B
Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-1DVj00gpDOk.en.vtt 475 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.es-ES.vtt 473 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-HmcurWkA0fQ.zh-CN.vtt 473 B
Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.pt-BR.vtt 473 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.ar.vtt 473 B
Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.zh-CN.vtt 473 B
Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.ja.vtt 472 B
Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-kieducUmiD0.pt-BR.vtt 472 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-e21oU80gwWc.pt.vtt 472 B
Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.ja.vtt 472 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.es-ES.vtt 471 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.es-ES.vtt 471 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.en.vtt 470 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.es-ES.vtt 470 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.hr.vtt 469 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.it.vtt 469 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.es.vtt 467 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.es-ES.vtt 466 B
Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.en.vtt 464 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.es-ES.vtt 463 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-2BfisMbu86o.zh-CN.vtt 463 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.ja.vtt 461 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.es.vtt 461 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.ar.vtt 459 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.en.vtt 457 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.it.vtt 456 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.es-ES.vtt 456 B
Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.pt-BR.vtt 456 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.ar.vtt 456 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.es-ES.vtt 455 B
Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-1DVj00gpDOk.zh-CN.vtt 455 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.en.vtt 455 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-Lwn6FJgyyYI.zh-CN.vtt 455 B
README.txt 454 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.es.vtt 453 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.hr.vtt 453 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.it.vtt 452 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-0FmTokjoRgo.zh-CN.vtt 452 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.es-ES.vtt 451 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.ja.vtt 448 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.en.vtt 448 B
Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-U2tkinJKn28.es-ES.vtt 447 B
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/19. Outro-K1Pj-cr1nFc.zh-CN.vtt 447 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.th.vtt 447 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.pt-PT.vtt 446 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.ar.vtt 445 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.it.vtt 444 B
Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.pt-BR.vtt 444 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.ja.vtt 444 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.pt.vtt 443 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.pt-BR.vtt 442 B
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.th.vtt 441 B
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 055 L Moving At 53 Degrees Solution V2-Y_3M6eeYbd8.zh-CN.vtt 440 B
Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.pt-BR.vtt 440 B
Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-q9698qIrPT0.es-ES.vtt 440 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.ar.vtt 437 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.ar.vtt 436 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.it.vtt 436 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.it.vtt 435 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.it.vtt 433 B
Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.pt-BR.vtt 433 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.en.vtt 433 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.en.vtt 432 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.zh-CN.vtt 431 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.en.vtt 430 B
Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-q9698qIrPT0.en.vtt 429 B
Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.en.vtt 428 B
Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.ja.vtt 428 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.en.vtt 427 B
Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-VDQK8gnETqw.en.vtt 426 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.es-ES.vtt 426 B
Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4FbhjgHIu10.ja.vtt 425 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.es-ES.vtt 425 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.en.vtt 425 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.en.vtt 424 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.th.vtt 423 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.it.vtt 422 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.zh-CN.vtt 422 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.ja.vtt 421 B
Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-ub9oMx2x-5c.es-ES.vtt 421 B
Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.es-ES.vtt 420 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.ja.vtt 420 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.zh-CN.vtt 420 B
Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.ja.vtt 419 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.pt-BR.vtt 418 B
Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-VDQK8gnETqw.ja.vtt 417 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.es-ES.vtt 417 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.ja.vtt 417 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.es-ES.vtt 416 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.en.vtt 416 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.zh-CN.vtt 416 B
Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-ub9oMx2x-5c.ja.vtt 415 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.ja.vtt 415 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.th.vtt 415 B
Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-VDQK8gnETqw.es-ES.vtt 414 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.it.vtt 414 B
Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-U2tkinJKn28.en.vtt 414 B
Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.zh-CN.vtt 414 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.en.vtt 414 B
Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.es.vtt 413 B
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.es-ES.vtt 412 B
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.ar.vtt 411 B
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.bn.vtt 411 B
Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.pt-BR.vtt 410 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.pt-BR.vtt 410 B
Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.it.vtt 409 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.zh-CN.vtt 408 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.es-ES.vtt 408 B
Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-ub9oMx2x-5c.en.vtt 407 B
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.ru.vtt 406 B
Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.es-ES.vtt 406 B
Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.zh-CN.vtt 406 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.ar.vtt 405 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.ar.vtt 404 B
Part 04-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.zh-CN.vtt 402 B
Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.zh-CN.vtt 400 B
Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.en.vtt 400 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.bn.vtt 400 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.ar.vtt 399 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.th.vtt 398 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.ja.vtt 398 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.pt-BR.vtt 397 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.en.vtt 397 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.ja.vtt 397 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.pt-BR.vtt 396 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.ja.vtt 395 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.ar.vtt 395 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.es-ES.vtt 395 B
Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.it.vtt 394 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.pt-BR.vtt 393 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.es-ES.vtt 393 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.th.vtt 393 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.es.vtt 392 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.pt-BR.vtt 391 B
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/09. Nd113 C6 L3 095 L Trigonometric Ratios Solution V2-c5iuVhWCOzc.en.vtt 391 B
Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.es-ES.vtt 390 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.ja.vtt 390 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.pt-PT.vtt 387 B
Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-VDQK8gnETqw.zh-CN.vtt 385 B
Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-1DVj00gpDOk.pt-BR.vtt 384 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.hr.vtt 384 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.pt.vtt 384 B
Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.pt-PT.vtt 384 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.pt-PT.vtt 383 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.hr.vtt 383 B
Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-q9698qIrPT0.zh-CN.vtt 383 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.it.vtt 382 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-dwVwSZuJDBQ.es-ES.vtt 381 B
Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.pt.vtt 381 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.zh-CN.vtt 380 B
Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.zh-CN.vtt 380 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.pt.vtt 380 B
Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-q9698qIrPT0.ja.vtt 379 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-3NSPqjp6pFY.zh-CN.vtt 379 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.es-ES.vtt 378 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.pt-BR.vtt 377 B
Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-U2tkinJKn28.zh-CN.vtt 377 B
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-JNDsm_Gzxi0.es-ES.vtt 376 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.zh-CN.vtt 376 B
Part 06-Module 01-Lesson 03_The Search Problem/16. Uniform Cost Search 3-_LtVDVBskhk.zh-CN.vtt 375 B
Part 04-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.en.vtt 375 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.it.vtt 375 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.ja.vtt 374 B
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-JNDsm_Gzxi0.en.vtt 373 B
Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.en.vtt 373 B
Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.ja.vtt 373 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.it.vtt 372 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.ja.vtt 370 B
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.en.vtt 370 B
Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.zh-CN.vtt 369 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.zh-CN.vtt 369 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.zh-CN.vtt 367 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.es-ES.vtt 366 B
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-JNDsm_Gzxi0.ja.vtt 365 B
Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.ja.vtt 365 B
Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-ub9oMx2x-5c.zh-CN.vtt 363 B
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-cUKlYjQEQGY.es-ES.vtt 362 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.es-ES.vtt 362 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.it.vtt 361 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.en.vtt 360 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.es-ES.vtt 360 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.pt-BR.vtt 360 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.it.vtt 359 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.es.vtt 359 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.th.vtt 359 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.es-ES.vtt 358 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.ja.vtt 357 B
Part 06-Module 01-Lesson 03_The Search Problem/16. Uniform Cost Search 3-_LtVDVBskhk.en.vtt 356 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.ja.vtt 356 B
Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.zh-CN.vtt 355 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.th.vtt 354 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.en.vtt 354 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.pt-BR.vtt 354 B
Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.en.vtt 353 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.ja.vtt 353 B
Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.it.vtt 352 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.es-ES.vtt 351 B
Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.zh-CN.vtt 351 B
Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.en.vtt 351 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.pt-PT.vtt 351 B
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-JNDsm_Gzxi0.zh-CN.vtt 351 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.es-ES.vtt 350 B
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.ja.vtt 350 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.en.vtt 349 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.en.vtt 349 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.zh-CN.vtt 349 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.es-ES.vtt 348 B
Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.es-ES.vtt 348 B
Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.zh-CN.vtt 348 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.pt.vtt 348 B
Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.en.vtt 348 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.es-ES.vtt 348 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.ja.vtt 345 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.it.vtt 345 B
Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.zh-CN.vtt 344 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.en.vtt 343 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-dwVwSZuJDBQ.zh-CN.vtt 343 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.zh-CN.vtt 343 B
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.ja.vtt 343 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.th.vtt 342 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.en.vtt 342 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.it.vtt 341 B
Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.pt-PT.vtt 341 B
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.ar.vtt 341 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.zh-CN.vtt 341 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.ja.vtt 340 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-AMFig-sYGfM.ja.vtt 340 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.th.vtt 339 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.pt-BR.vtt 339 B
Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.it.vtt 338 B
Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.pt.vtt 338 B
Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.es-ES.vtt 337 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.en.vtt 337 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.es-ES.vtt 336 B
Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.ar.vtt 336 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.en.vtt 336 B
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.pt-BR.vtt 335 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.it.vtt 335 B
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-cUKlYjQEQGY.en.vtt 334 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-dwVwSZuJDBQ.en.vtt 333 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.pt-PT.vtt 333 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.es-ES.vtt 333 B
Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-W9TOvnLH4fg.es-ES.vtt 333 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.es-ES.vtt 332 B
Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.ja.vtt 332 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.zh-CN.vtt 331 B
Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-Ua8DCPx8lhk.ja.vtt 331 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.ja.vtt 331 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.pt.vtt 330 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.pt-BR.vtt 329 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.es-ES.vtt 329 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-EyE5vOSxPdI.es-ES.vtt 329 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.ja.vtt 327 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.ja.vtt 326 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.en.vtt 325 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.ar.vtt 325 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.it.vtt 324 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.zh-CN.vtt 323 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.en.vtt 322 B
Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-W9TOvnLH4fg.en.vtt 322 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.ja.vtt 321 B
Part 06-Module 01-Lesson 03_The Search Problem/09. Breath First Search 2-1VykygxreWg.en.vtt 321 B
Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.zh-CN.vtt 320 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.it.vtt 320 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.ja.vtt 319 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.ja.vtt 319 B
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.es-ES.vtt 318 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.pt-BR.vtt 317 B
Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-W9TOvnLH4fg.ja.vtt 316 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.es-ES.vtt 316 B
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.it.vtt 315 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.ja.vtt 315 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.zh-CN.vtt 315 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.ar.vtt 315 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.it.vtt 314 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-AMFig-sYGfM.es-ES.vtt 314 B
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.pt-PT.vtt 314 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.ja.vtt 314 B
Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.en.vtt 313 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.en.vtt 313 B
Part 06-Module 01-Lesson 03_The Search Problem/26. A Search 2-gYKBDz2kQJ8.en.vtt 313 B
Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.hr.vtt 312 B
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.pt.vtt 311 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.en.vtt 310 B
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.es-ES.vtt 310 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.es-ES.vtt 310 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.es-ES.vtt 309 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.zh-CN.vtt 309 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.it.vtt 308 B
Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-U2tkinJKn28.ja.vtt 308 B
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.en.vtt 307 B
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.es-ES.vtt 306 B
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.hr.vtt 305 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.ja.vtt 305 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.th.vtt 305 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.zh-CN.vtt 304 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.ja.vtt 304 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.ar.vtt 303 B
Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.zh-CN.vtt 303 B
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.es.vtt 303 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.zh-CN.vtt 303 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.ar.vtt 302 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.es-ES.vtt 301 B
Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.es-ES.vtt 301 B
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-cUKlYjQEQGY.ja.vtt 301 B
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.en.vtt 301 B
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.ja.vtt 301 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.ja.vtt 300 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.en.vtt 299 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.th.vtt 299 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.en.vtt 298 B
Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.zh-CN.vtt 298 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.it.vtt 298 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.it.vtt 298 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-AMFig-sYGfM.en.vtt 297 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.zh-CN.vtt 297 B
Part 06-Module 01-Lesson 03_The Search Problem/25. A Search 1 Solution-pfSya9ScozE.en.vtt 297 B
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.pt-PT.vtt 296 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.ja.vtt 296 B
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/09. Nd113 C6 L3 095 L Trigonometric Ratios Solution V2-c5iuVhWCOzc.zh-CN.vtt 296 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-EyE5vOSxPdI.ja.vtt 296 B
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.it.vtt 296 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.it.vtt 295 B
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.zh-CN.vtt 294 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-fGcozDEwnwY.es-ES.vtt 294 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.pt-BR.vtt 293 B
Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-mGWGhgZG_jM.pt.vtt 293 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.en.vtt 292 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.it.vtt 291 B
Part 06-Module 01-Lesson 03_The Search Problem/09. Breath First Search 2-1VykygxreWg.zh-CN.vtt 291 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.it.vtt 290 B
Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-W9TOvnLH4fg.zh-CN.vtt 290 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.pt-PT.vtt 290 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.en.vtt 290 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.hr.vtt 289 B
Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.it.vtt 289 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-EyE5vOSxPdI.en.vtt 289 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.en.vtt 288 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.pt-PT.vtt 287 B
Part 06-Module 01-Lesson 03_The Search Problem/26. A Search 2-gYKBDz2kQJ8.zh-CN.vtt 287 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.pt.vtt 287 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.zh-CN.vtt 286 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.ar.vtt 286 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.pt-BR.vtt 285 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.pt-PT.vtt 284 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.it.vtt 284 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.pt.vtt 284 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.ar.vtt 283 B
Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3--6l4_oprDOk.zh-CN.vtt 282 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.en.vtt 282 B
Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-cUKlYjQEQGY.zh-CN.vtt 281 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-dwVwSZuJDBQ.ja.vtt 281 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.pt.vtt 281 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-AMFig-sYGfM.zh-CN.vtt 280 B
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.ja.vtt 280 B
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.en.vtt 280 B
Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.zh-CN.vtt 280 B
Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-RJFD5ok1ZIc.es-ES.vtt 279 B
Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-Ua8DCPx8lhk.zh-CN.vtt 279 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.ar.vtt 279 B
Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.en.vtt 279 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.ar.vtt 278 B
Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.zh-CN.vtt 277 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.zh-CN.vtt 277 B
Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.zh-CN.vtt 277 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-xNPEjY4dsds.es-ES.vtt 275 B
Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-Ua8DCPx8lhk.es-ES.vtt 275 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.zh-CN.vtt 275 B
Part 06-Module 01-Lesson 03_The Search Problem/25. A Search 1 Solution-pfSya9ScozE.zh-CN.vtt 274 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.es-ES.vtt 272 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-fGcozDEwnwY.ja.vtt 271 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.bn.vtt 271 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-fGcozDEwnwY.en.vtt 270 B
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.pt-BR.vtt 269 B
Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-zHAl87ITDik.ja.vtt 268 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.es-ES.vtt 268 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.en.vtt 268 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.th.vtt 267 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.pt-BR.vtt 265 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.ar.vtt 265 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.ja.vtt 264 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.en.vtt 263 B
Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.ja.vtt 262 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.pt-BR.vtt 262 B
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.it.vtt 262 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.ja.vtt 262 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.ja.vtt 261 B
Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-zHAl87ITDik.en.vtt 261 B
Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-RJFD5ok1ZIc.en.vtt 261 B
Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-zHAl87ITDik.es-ES.vtt 261 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.ja.vtt 260 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.en.vtt 260 B
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.es-ES.vtt 260 B
Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-Ua8DCPx8lhk.en.vtt 259 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.es-ES.vtt 258 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.bn.vtt 257 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.es-ES.vtt 257 B
Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.zh-CN.vtt 255 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.pt-PT.vtt 255 B
Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-RJFD5ok1ZIc.zh-CN.vtt 255 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.ar.vtt 254 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.pt-BR.vtt 253 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-EyE5vOSxPdI.zh-CN.vtt 253 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.es-ES.vtt 252 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.pt.vtt 252 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.th.vtt 252 B
Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.ar.vtt 252 B
Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.zh-CN.vtt 250 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.pt-BR.vtt 249 B
Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.pt-PT.vtt 249 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.pt-BR.vtt 249 B
Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.es-ES.vtt 248 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.en.vtt 248 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.zh-CN.vtt 248 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.it.vtt 248 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-P4uljJ_OP6I.ja.vtt 247 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.en.vtt 247 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.ja.vtt 246 B
Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.pt.vtt 246 B
Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-zHAl87ITDik.zh-CN.vtt 245 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.en.vtt 245 B
Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.zh-CN.vtt 245 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.zh-CN.vtt 244 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.th.vtt 244 B
Part 06-Module 01-Lesson 03_The Search Problem/24. A Search Solution-_cPSOQ-sC2k.zh-CN.vtt 243 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.pt-PT.vtt 243 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.es-ES.vtt 243 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-xNPEjY4dsds.en.vtt 243 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.ja.vtt 242 B
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.ja.vtt 241 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.es-MX.vtt 241 B
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.en.vtt 241 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-FQM7i07EqGo.zh-CN.vtt 241 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.th.vtt 240 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.it.vtt 240 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.th.vtt 240 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.pt.vtt 240 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.zh-CN.vtt 238 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.ar.vtt 238 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.hr.vtt 238 B
Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-SYnYIjLpbjE.ja.vtt 237 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-xNPEjY4dsds.zh-CN.vtt 237 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-fGcozDEwnwY.zh-CN.vtt 236 B
Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.en.vtt 236 B
Part 06-Module 01-Lesson 03_The Search Problem/26. A Search 2 Solution-kvDVL4G_njI.en.vtt 236 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.ru.vtt 235 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.es-ES.vtt 234 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.it.vtt 234 B
Part 06-Module 01-Lesson 03_The Search Problem/24. A Search Solution-_cPSOQ-sC2k.en.vtt 234 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.es-ES.vtt 234 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-1X8Tu6TmKhY.es-ES.vtt 232 B
Part 06-Module 01-Lesson 03_The Search Problem/26. A Search 2 Solution-kvDVL4G_njI.zh-CN.vtt 232 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.it.vtt 231 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.en.vtt 231 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.es-ES.vtt 231 B
Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-RJFD5ok1ZIc.ja.vtt 230 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.zh-CN.vtt 229 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.zh-CN.vtt 229 B
Part 02-Module 01-Lesson 03_Probability/10. Loaded Coin 3-HohMRlmHoMQ.zh-CN.vtt 228 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.es.vtt 228 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.pt-PT.vtt 228 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.th.vtt 228 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.zh-CN.vtt 228 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.en.vtt 226 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.zh-CN.vtt 226 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.pt.vtt 225 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.es-ES.vtt 223 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.ar.vtt 222 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.en.vtt 222 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.ar.vtt 222 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.ja.vtt 222 B
Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.es-ES.vtt 221 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.es.vtt 220 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.pt-BR.vtt 219 B
Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.ja.vtt 219 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.en.vtt 219 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.ja.vtt 219 B
Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.zh-CN.vtt 218 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.es-ES.vtt 218 B
Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-BldUOLB2U1Y.it.vtt 218 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.zh-CN.vtt 218 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.en.vtt 217 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.es-ES.vtt 217 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.pt-BR.vtt 216 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.es-MX.vtt 216 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.ja.vtt 216 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.hr.vtt 216 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.it.vtt 215 B
Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-cdFrLeXIkZU.zh-CN.vtt 214 B
Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.en.vtt 214 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.en.vtt 214 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.it.vtt 213 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.it.vtt 213 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.hr.vtt 213 B
Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.zh-CN.vtt 212 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.it.vtt 212 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.pt-BR.vtt 212 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.ar.vtt 211 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.ja.vtt 211 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.es-ES.vtt 211 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.it.vtt 210 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.en.vtt 210 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.es-ES.vtt 210 B
Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-rRPwknIDuI0.pt-BR.vtt 209 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.pt-PT.vtt 209 B
Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-6c0XvswnGm0.ja.vtt 208 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.ru.vtt 207 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.ar.vtt 207 B
Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.zh-CN.vtt 207 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.pt.vtt 206 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.th.vtt 205 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-1X8Tu6TmKhY.en.vtt 204 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.hr.vtt 204 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.th.vtt 204 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.en.vtt 203 B
Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.pt-BR.vtt 202 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.bn.vtt 201 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.ja.vtt 201 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.pt-BR.vtt 201 B
Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-hyAQ28MYmc4.ja.vtt 200 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.ja.vtt 199 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-V96RcbbVP7Q.zh-CN.vtt 198 B
Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.ja.vtt 198 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.en.vtt 198 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.hr.vtt 197 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.zh-CN.vtt 197 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-1X8Tu6TmKhY.zh-CN.vtt 196 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.zh-CN.vtt 196 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.ja.vtt 194 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.ja.vtt 194 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.it.vtt 193 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.en.vtt 193 B
Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-sNvQeSikRFY.zh-CN.vtt 192 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.es-ES.vtt 192 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.zh-CN.vtt 192 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.ar.vtt 191 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.ar.vtt 190 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.en.vtt 190 B
Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-GMC_T-hbTlc.es-ES.vtt 189 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-1X8Tu6TmKhY.ja.vtt 187 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.ja.vtt 187 B
Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-pT0FXiH_5nI.pt-BR.vtt 186 B
Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-GMC_T-hbTlc.en.vtt 186 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.es-ES.vtt 185 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.pt-BR.vtt 184 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.ja.vtt 184 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.pt-BR.vtt 183 B
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-xNPEjY4dsds.ja.vtt 181 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.en.vtt 180 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.es-ES.vtt 180 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.th.vtt 178 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.it.vtt 178 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.th.vtt 177 B
Part 02-Module 01-Lesson 03_Probability/15. Two Flips 3-uimwo-puQWY.zh-CN.vtt 177 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.es.vtt 177 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.ar.vtt 176 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.zh-CN.vtt 176 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.ja.vtt 176 B
Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-x2o1g3J-1nw.zh-CN.vtt 175 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.ar.vtt 175 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.pt-PT.vtt 175 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.ja.vtt 175 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.it.vtt 175 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.it.vtt 174 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.es-ES.vtt 174 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.es-ES.vtt 174 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.pt-BR.vtt 173 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.pt-PT.vtt 173 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.es-ES.vtt 172 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.pt.vtt 172 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.it.vtt 171 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.it.vtt 171 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.en.vtt 170 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.pt-PT.vtt 170 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.pt.vtt 170 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.en.vtt 169 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.es.vtt 169 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.ja.vtt 169 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.pt-BR.vtt 169 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.pt-BR.vtt 169 B
Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.pt.vtt 167 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.en.vtt 167 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.es-ES.vtt 166 B
Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-GMC_T-hbTlc.zh-CN.vtt 166 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.es-ES.vtt 165 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.th.vtt 164 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.pt-BR.vtt 164 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.it.vtt 164 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.pt-PT.vtt 164 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.zh-CN.vtt 164 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.pt-BR.vtt 164 B
Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.ar.vtt 163 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.zh-CN.vtt 163 B
Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.pt-BR.vtt 162 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.ar.vtt 161 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.pt.vtt 161 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.th.vtt 160 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.ja.vtt 159 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.ar.vtt 158 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.zh-CN.vtt 158 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.zh-CN.vtt 158 B
Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.hr.vtt 157 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.pt-BR.vtt 157 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.es-ES.vtt 157 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.hr.vtt 155 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.en.vtt 155 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.es-ES.vtt 155 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.ja.vtt 155 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.it.vtt 153 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.ar.vtt 153 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.th.vtt 152 B
Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.zh-CN.vtt 152 B
Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.en.vtt 152 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.ru.vtt 150 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.en.vtt 150 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.zh-CN.vtt 149 B
Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.ja.vtt 149 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.zh-CN.vtt 149 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.pt-BR.vtt 149 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.es-ES.vtt 147 B
Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.en.vtt 147 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.pt-BR.vtt 146 B
Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.ar.vtt 144 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.es-ES.vtt 143 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.en.vtt 142 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.ja.vtt 142 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.es-ES.vtt 142 B
Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.en.vtt 142 B
Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-GMC_T-hbTlc.ja.vtt 141 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.ja.vtt 141 B
Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.ja.vtt 141 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.en.vtt 140 B
Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.es-ES.vtt 140 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.it.vtt 138 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.ja.vtt 138 B
Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.es-ES.vtt 138 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.it.vtt 138 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.th.vtt 137 B
Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.en.vtt 136 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.th.vtt 135 B
Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.ja.vtt 135 B
Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.ja.vtt 134 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.ja.vtt 133 B
Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.ja.vtt 132 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.ar.vtt 132 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.th.vtt 130 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.it.vtt 129 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.es-ES.vtt 129 B
Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.en.vtt 129 B
Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.zh-CN.vtt 129 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.ar.vtt 129 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.en.vtt 128 B
Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.zh-CN.vtt 128 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.it.vtt 127 B
Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.zh-CN.vtt 127 B
Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.es-ES.vtt 126 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.ja.vtt 126 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.ar.vtt 126 B
Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.pt-BR.vtt 125 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.es-ES.vtt 125 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.pt-BR.vtt 123 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.ja.vtt 123 B
Part 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.zh-CN.vtt 123 B
Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.zh-CN.vtt 123 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.ja.vtt 123 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.ja.vtt 122 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.ar.vtt 122 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.pt-BR.vtt 122 B
Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.zh-CN.vtt 121 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.en.vtt 120 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.es-ES.vtt 120 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.es-ES.vtt 120 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.ja.vtt 119 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.en.vtt 119 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.es-ES.vtt 118 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.ar.vtt 118 B
Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.zh-CN.vtt 118 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.es.vtt 117 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.zh-CN.vtt 116 B
Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.en.vtt 116 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.zh-CN.vtt 115 B
Part 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.ja.vtt 115 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.en.vtt 113 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.zh-CN.vtt 113 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.ja.vtt 113 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.it.vtt 111 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.zh-CN.vtt 111 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.ar.vtt 110 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.zh-CN.vtt 110 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.ja.vtt 110 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.pt-PT.vtt 110 B
Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.en.vtt 110 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.es-ES.vtt 109 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.es-ES.vtt 109 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.en.vtt 109 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.zh-CN.vtt 108 B
Part 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.pt-BR.vtt 108 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.es-ES.vtt 108 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.pt-BR.vtt 108 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.th.vtt 108 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.es-ES.vtt 107 B
Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.pt.vtt 107 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.pt-BR.vtt 106 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.es-ES.vtt 105 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.en.vtt 104 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.en.vtt 103 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.ja.vtt 102 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.es-ES.vtt 101 B
Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.pt-BR.vtt 99 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.zh-CN.vtt 98 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.pt-PT.vtt 98 B
Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.en.vtt 97 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.en.vtt 96 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.it.vtt 96 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.ar.vtt 96 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.pt.vtt 95 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.ar.vtt 95 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.en.vtt 95 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.ja.vtt 94 B
Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.pt-BR.vtt 94 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.it.vtt 93 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.pt-BR.vtt 92 B
Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.zh-CN.vtt 91 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.ja.vtt 91 B
Part 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.zh-CN.vtt 90 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.it.vtt 90 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.en.vtt 89 B
Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.zh-CN.vtt 87 B
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